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Yu J, Liu Q, Qi L, Fang Q, Shang X, Zhang X, Du Y. Fluorophore and nanozyme-functionalized DNA walking: A dual-mode DNA logic biocomputing platform for microRNA sensing in clinical samples. Biosens Bioelectron 2024; 252:116137. [PMID: 38401282 DOI: 10.1016/j.bios.2024.116137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/12/2024] [Accepted: 02/16/2024] [Indexed: 02/26/2024]
Abstract
Inspired by the programmability and modifiability of nucleic acids, point-of-care (POC) diagnostics for nucleic acid target detection is evolving to become more diversified and intelligent. In this study, we introduce a fluorescent and photothermal dual-mode logic biosensing platform that integrates catalytic hairpin assembly (CHA), toehold-mediated stand displacement reaction (SDR) and a DNA walking machine. Dual identification and signal reporting modules are incorporated into DNA circuits, orchestrated by an AND Boolean logic gate operator and magnetic beads (MBs). In the presence of bispecific microRNAs (miRNAs), the AND logic gate activates, driving the DNA walking machine, and facilitating the collection of hairpin DNA stands modified with FAM fluorescent group and CeO2@Au nanoparticles. The CeO2@Au nanoparticles, served as a nanozyme, can oxidize TMB into oxidation TMB (TMBox), enabling a near-infrared (NIR) laser-driven photothermal effect following the magnetic separation of MBs. This versatile platform was employed to differentiate between plasma samples from breast cancer patients, lung cancer patients, and healthy donors. The thermometer-readout transducers, derived from the CeO2@Au@DNA complexes, provided reliable results, further corroborated by fluorescence assays, enhancing the confidence in the diagnostics compared to singular detection method. The dual-mode logic biosensor can be easily customized to various nucleic acid biomarkers and other POC signal readout modalities by adjusting recognition sequences and modification strategies, heralding a promising future in the development of intelligent, flexible diagnostics for POC testing.
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Affiliation(s)
- Jingyuan Yu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, PR China; School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, PR China
| | - Quanyi Liu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, PR China; School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, PR China
| | - Lijuan Qi
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, PR China; School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, PR China
| | - Qi Fang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, PR China; School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, PR China
| | - Xudong Shang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, PR China
| | - Xiaojun Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, PR China.
| | - Yan Du
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, PR China; School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, PR China.
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Cao Y, Zhang D, Li B, Li H, Qin X, Tian J, Wang C, Wang M, Han R, Qi L, Peng J, Zhao X, Zhang D, Zhao X, Chen L, Kang D, Tian F, Li J. Molecular characterization and functional analyses of maize phytochrome A photoreceptors. Plant Physiol 2024; 194:2213-2216. [PMID: 38109710 DOI: 10.1093/plphys/kiad667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/22/2023] [Accepted: 11/28/2023] [Indexed: 12/20/2023]
Abstract
Maize phytochrome A photoreceptors play important roles in maize growth and development while displaying both distinct properties from and sharing common features with Arabidopsis phytochrome A.
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Affiliation(s)
- Yan Cao
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Dun Zhang
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Beihan Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Hong Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Xinyan Qin
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Jinge Tian
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Chenglong Wang
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Meijiao Wang
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Run Han
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Lijuan Qi
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Jing Peng
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Xiaoqiang Zhao
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
| | - Dan Zhang
- Key Laboratory of Genetic Improvement and Efficient Production for Specialty Crops in Arid Southern Xinjiang of Xinjiang Corps, College of Agriculture, Tarim University, Alar 843300, China
| | - Xiang Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Limei Chen
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Dingming Kang
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
| | - Feng Tian
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Jigang Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding (MOE), Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing 100193, China
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Qi L, Li X, Yang Y, Zhao M, Lin A, Ma L. Accuracy of machine learning in the preoperative identification of ovarian borderline tumors: a meta-analysis. Clin Radiol 2024:S0009-9260(24)00134-X. [PMID: 38670918 DOI: 10.1016/j.crad.2024.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/07/2024] [Accepted: 02/22/2024] [Indexed: 04/28/2024]
Abstract
AIM The objective of this study is to explore the diagnostic value of machine learning (ML) in borderline ovarian tumors through meta-analysis. METHODS Pubmed, Embase, Web of Science, and Cochrane Library databases were comprehensively retrieved from database inception untill February 16, 2023. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was adopted to evaluate the risk of bias in the original studies. Sub-group analyses of ML were conducted according to clinical features and radiomics features. We separately discussed the discriminative value of ML for borderline vs benign and borderline vs malignant tumors. RESULTS Eighteen studies involving 12,778 subjects were included in our analysis. The modeling variables mainly consisted of radiomics features (n=13) and a small number of clinical features (n=5). When distinguishing between borderline and benign tumors, the ML model based on radiomic features achieved a c-index of 0.782 (95% CI: 0.732-0.831), sensitivity of 0.75 (95% CI: 0.67-0.82), and specificity of 0.75 (95% CI: 0.67-0.81) in the validation set. When distinguishing between borderline and malignant tumors, the ML model based on radiomic features achieved a c-index of 0.916 (95% CI: 0.891-0.940), sensitivity of 0.86 (95% CI: 0.78-0.91), and specificity of 0.88 (95% CI: 0.82-0.92) in the validation set. In addition, we analyzed the discriminatory ability of radiologists and found that their sensitivity was 0.26 (95% CI: 0.12-0.46) and specificity was 0.94 (95% CI: 0.90-0.97). CONCLUSIONS ML has tremendous potential in the preoperative diagnosis and differentiation of borderline ovarian tumors and may be more accurate than radiologists in diagnosing and differentiating borderline ovarian tumors.
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Affiliation(s)
- L Qi
- Department of Gynecology and Obstetrics, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai City, Shandong Province, China
| | - X Li
- Department of Pathology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai City, Shandong Province, China
| | - Y Yang
- Emergency Department, HongQi Hospital Affiliated to MuDanJiang Medical University, MuDanJiang City, Heilongjiang Province, China
| | - M Zhao
- Department of Gynecology and Obstetrics, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai City, Shandong Province, China
| | - A Lin
- Department of Gynecology and Obstetrics, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai City, Shandong Province, China.
| | - L Ma
- Center for Laboratory Diagnosis, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai City, Shandong Province, China.
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Liu Y, Tu Y, Xiao J, Shen Y, Zhou B, Yang Q, Yu L, Qi L, Chen J, Liu T, Wu D, Xu Y. Clinical outcomes of patients with lymphoid blastic phase of chronic myeloid leukemia treated with CAR T-cell therapy. Blood Cancer J 2024; 14:39. [PMID: 38448401 PMCID: PMC10917735 DOI: 10.1038/s41408-024-01020-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/15/2024] [Accepted: 02/21/2024] [Indexed: 03/08/2024] Open
Affiliation(s)
- Yujie Liu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Yuqing Tu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Jinyan Xiao
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Yifan Shen
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Biqi Zhou
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Qiannan Yang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Lei Yu
- Shanghai Unicar Therapy Bio-Medicine Technology Co. Ltd, Shanghai, China
| | - Lijuan Qi
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Jia Chen
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China
| | - Tianhui Liu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China.
| | - Depei Wu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China.
| | - Yang Xu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P. R. China.
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Shi B, Jiang J, An H, Qi L, Wei TB, Qu WJ, Lin Q. Clamparene: Synthesis, Structure, and Its Application in Spontaneous Formation of 3D Porous Crystals. J Am Chem Soc 2024; 146:2901-2906. [PMID: 38271666 DOI: 10.1021/jacs.3c13714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Macrocyclic arenes have emerged as pivotal scaffolds in supramolecular chemistry. Despite their significant contributions to molecular recognition and diverse applications, challenges persist in the development of macrocyclic arene-based crystalline materials, particularly in achieving porosity and addressing limitations in adsorption efficiency resulting from the small cavity sizes of existing macrocyclic arenes. In this study, we present the design and synthesis of a novel macrocyclic arene, clamparene (CLP), featuring a rigid backbone, easy synthesis, and a sizable cavity. CLP self-assembles into one-dimensional sub-nanotubes that further organize into a three-dimensional porous framework in the solid state. The crystalline solid of CLP exhibits potential as a porous crystalline adsorbent for various benzene-based contaminants with rapid adsorption kinetics, large uptake amounts, and good recyclability.
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Affiliation(s)
- Bingbing Shi
- Key Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, P.R. China
| | - Jingxiong Jiang
- Key Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, P.R. China
| | - Hui An
- Key Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, P.R. China
| | - Lijuan Qi
- Key Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, P.R. China
| | - Tai-Bao Wei
- Key Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, P.R. China
| | - Wen-Juan Qu
- Key Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, P.R. China
| | - Qi Lin
- Key Laboratory of Eco-Functional Polymer Materials of the Ministry of Education, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, P.R. China
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Sun Y, Zhang S, Qi L, Zhang X, Yang M, Guo Z, Wang Z, Du Y. Advancing Multiple Detection in RT-LAMP with a Specific Probe Assembled from Plural Three-Way-Junction Structures. Anal Chem 2023; 95:17808-17817. [PMID: 37972997 DOI: 10.1021/acs.analchem.3c03877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
The timely detection of diseases and the accurate identification of pathogens require the development of efficient and reliable diagnostic methods. In this study, we have developed a novel specific multivariate probe termed MRTFP (multivariate real-time fluorescent probe) by assembling strand exchange three-way-junction (3WJ) structures. The 3WJ structures were incorporated into a four-angle probe (FP) and a hexagonal probe (HP), to target the multivariate genes of Salmonella. The FP and HP enable single-step and multiplexed detection in RT-LAMP (real-time loop-mediated isothermal amplification) with exceptional sensitivity and specificity. Encouragingly, real food samples contaminated with Salmonella (Salmonella enteritidis and Salmonella typhimurium) can be readily identified and distinguished with a minimum detectable concentration (MDC) of 103 CFU/mL without the need for further culture. The introduction of MRTFP allows for simultaneous detection of dual or three targets in a single tube for LAMP, thereby improving detection efficiency. The MRTFP simplifies the design of robust multivariate probes, exhibits excellent stability, and avoids interference from multiple probe units, offering significant potential for the development of specific probes for efficient and accurate disease detection and pathogen identification.
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Affiliation(s)
- Yi Sun
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Sicai Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Yanbian University, Yanji, Jilin 133002, China
| | - Lijuan Qi
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Xiaojun Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
| | - Meiting Yang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
| | - Zhijun Guo
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Yanbian University, Yanji, Jilin 133002, China
| | - Zhenxin Wang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Yan Du
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, China
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Zhang Y, Qi L, Wang R. Meta-analysis: reducing the recurrence rate of allergic rhinitis through oral administration of traditional Chinese medicine. Eur Rev Med Pharmacol Sci 2023; 27:7924-7934. [PMID: 37750621 DOI: 10.26355/eurrev_202309_33551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
OBJECTIVE A systematic review and meta-analysis were carried out to investigate the medical evidence of oral Chinese herbal medicine in reducing the recurrence of allergic rhinitis (AR). MATERIALS AND METHODS Through computer retrieval of PubMed, ScienceDirect, WOS, and other databases, relevant randomized controlled literature was obtained based on the inclusion criteria and retrieval strategies. The retrieval time was set from January 1, 2013, to December 31, 2022. The bias of the literature was evaluated using the bias evaluation module in Cochrane Manual Version 5.1.0, and the meta-analysis was conducted using RevMan software to verify the effectiveness of oral administration of traditional Chinese medicine (TCM) and its impact on reducing the recurrence rate. RESULTS The meta-analysis included 7 articles. In the meta-analysis of all articles, the effective treatment rate of oral administration of TCM reached 97.09%. Additionally, when comparing the recurrence rate of AR between patients taking Chinese medicine orally and other treatment groups, the recurrence rate of patients taking Chinese medicine orally was only 24.46%, which was significantly lower (p<0.05). Furthermore, the quality of life of patients taking Chinese medicine orally after treatment was significantly higher than that of patients in the control group (C), indicating the good safety of oral Chinese medicine. CONCLUSIONS Oral administration of TCM has demonstrated an effective reduction in the recurrence rate of AR, offering patients a good prognosis. This finding holds significant value for the clinical diagnosis and treatment of AR.
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Affiliation(s)
- Y Zhang
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
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Li H, Zhou Y, Qin X, Peng J, Han R, Lv Y, Li C, Qi L, Qu GP, Yang L, Li Y, Terzaghi W, Li Z, Qin F, Gong Z, Deng XW, Li J. Reconstitution of phytochrome A-mediated light modulation of the ABA signaling pathways in yeast. Proc Natl Acad Sci U S A 2023; 120:e2302901120. [PMID: 37590408 PMCID: PMC10450666 DOI: 10.1073/pnas.2302901120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 07/06/2023] [Indexed: 08/19/2023] Open
Abstract
Abscisic acid (ABA), a classical plant hormone, plays an essential role in plant adaptation to environmental stresses. The ABA signaling mechanisms have been extensively investigated, and it was shown that the PYR1 (PYRABACTIN RESISTANCE1)/PYL (PYR1-LIKE)/RCAR (REGULATORY COMPONENT OF ABA RECEPTOR) ABA receptors, the PP2C coreceptors, and the SnRK2 protein kinases constitute the core ABA signaling module responsible for ABA perception and initiation of downstream responses. We recently showed that ABA signaling is modulated by light signals, but the underlying molecular mechanisms remain largely obscure. In this study, we established a system in yeast cells that was not only successful in reconstituting a complete ABA signaling pathway, from hormone perception to ABA-responsive gene expression, but also suitable for functionally characterizing the regulatory roles of additional factors of ABA signaling. Using this system, we analyzed the roles of several light signaling components, including the red and far-red light photoreceptors phytochrome A (phyA) and phyB, and the photomorphogenic central repressor COP1, in the regulation of ABA signaling. Our results showed that both phyA and phyB negatively regulated ABA signaling, whereas COP1 positively regulated ABA signaling in yeast cells. Further analyses showed that photoactivated phyA interacted with the ABA coreceptors ABI1 and ABI2 to decrease their interactions with the ABA receptor PYR1. Together, data from our reconstituted yeast ABA signaling system provide evidence that photoactivated photoreceptors attenuate ABA signaling by directly interacting with the key components of the core ABA signaling module, thus conferring enhanced ABA tolerance to light-grown plants.
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Affiliation(s)
- Hong Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Yangyang Zhou
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences and School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing100871, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong261325, China
| | - Xinyan Qin
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Jing Peng
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Run Han
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Yang Lv
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Cong Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Lijuan Qi
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Gao-Ping Qu
- Basic Forestry and Proteomics Research Center, Fujian Agriculture and Forestry University, Fuzhou350002, China
| | - Li Yang
- Department of Plant Pathology, China Agricultural University, Beijing100193, China
| | - Yanjie Li
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT06520
| | | | - Zhen Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Feng Qin
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Zhizhong Gong
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
| | - Xing Wang Deng
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences and School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing100871, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong261325, China
| | - Jigang Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing100193, China
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Ye JM, Zhou JH, Wang J, Ye LL, Li CF, Wu B, Qi L, Chen C, Cui J, Qiu YQ, Liu SX, Li FY, Luo YF, Lyu YB, Ye L, Shi XM. [Association of greenness, nitrogen dioxide with the prevalence of hypertension among the elderly over 65 years old in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:641-648. [PMID: 37165811 DOI: 10.3760/cma.j.cn112150-20230118-00044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Objective: To investigate the association of mixed exposure to greenness and nitrogen dioxide(NO2) and hypertension among the older adults aged 65 years and over in China. Methods: The study subjects were from the Chinese Longitudinal Healthy Longevity Survey from 2017 to 2018. A total of 15 423 older adults aged 65 years and over meeting the criteria were finally included in the study. A questionnaire survey was used to collect information on demographic characteristics, lifestyle habits and self-reported prevalence of hypertension. Blood pressure values were obtained through physical examination. The level of normalized difference vegetation index(NDVI) was measured by the Medium-resolution Imaging Spectral Radiator(MODIS) of the National Aeronautics and Space Administration(NASA). The concentration of NO2 was from China's surface air pollutant data set. Meteorological data was from NASA MERRA-2. The exposure to NDVI and NO2 for each study subject was calculated based on the area within a 1 km radius around their residence. The association between mixed exposure of NDVI and NO2 as well as their interaction and hypertension in older adults was analyzed by using the multivariate logistic regression model. The restrictive cubic spline(RCS) function was used to explore the exposure-response relationship between greenness and NO2 and the risk of hypertension in study subjects. Results: The mean age of 15 423 older adults were (85.6±11.6). Women accounted for 56.3%(8 685/15 423) and 55.6%(8 578/15 423) lived in urban areas. The mean time of residence was (60.9±28.5) years. 59.8% of participants were with hypertension. The mean NDVI level was 0.41±0.13, and the mean NO2 concentration was (32.18±10.36) μg/cm3. The results of multivariate logistic regression analysis showed that NDVI was inversely and linearly associated with the hypertension in older adults, with the OR(95%CI) value of 0.959(0.928-0.992). Compared with the T1 group of NDVI, the risk of hypertension was lower in the T3 group, with the OR(95%CI) value of 0.852(0.769-0.944), and the trend test was statistically significant(P<0.05). Compared with the T1 group of NO2, the risk of hypertension was higher in the T2 and T3 groups, with OR(95%CI) values of 1.160(1.055-1.275) and 1.244(1.111-1.393), and the trend test was statistically significant (P<0.05). The result of the RCS showed that NDVI was inversely and linearly associated with hypertension in older adults. NO2 was nonlinearly associated with hypertension in older adults. The interaction analysis showed that NDVI and NO2 had a negative multiplicative interaction on the risk of hypertension, with OR(95%CI) value of 0.995(0.992-0.997). Conclusion: Exposure to greenness and NO2 are associated with hypertension in older adults.
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Affiliation(s)
- J M Ye
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - J H Zhou
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Wang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L L Ye
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - C F Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Anhui Medical University, He Fei 230032, China
| | - B Wu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - L Qi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C Chen
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Cui
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Y Q Qiu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - S X Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - F Y Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, China Medical University, Shenyang 110013, China
| | - Y F Luo
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Anhui Medical University, He Fei 230032, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L Ye
- School of Public Health, Jilin University, Changchun 130012, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Han R, Ma L, Lv Y, Qi L, Peng J, Li H, Zhou Y, Song P, Duan J, Li J, Li Z, Terzaghi W, Guo Y, Li J. SALT OVERLY SENSITIVE2 stabilizes phytochrome-interacting factors PIF4 and PIF5 to promote Arabidopsis shade avoidance. Plant Cell 2023:koad119. [PMID: 37119311 PMCID: PMC10396385 DOI: 10.1093/plcell/koad119] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 03/08/2023] [Accepted: 04/26/2023] [Indexed: 06/19/2023]
Abstract
Sun-loving plants trigger the shade avoidance syndrome (SAS) to compete against their neighbors for sunlight. Phytochromes are plant red (R) and far-red (FR) light photoreceptors that play a major role in perceiving the shading signals and triggering SAS. Shade induces a reduction in the level of active phytochrome B (phyB), thus increasing the abundance of PHYTOCHROME-INTERACTING FACTORS (PIFs), a group of growth-promoting transcription factors. However, whether other factors are involved in modulating PIF activity in the shade remains largely obscure. Here, we show that SALT OVERLY SENSITIVE2 (SOS2), a protein kinase essential for salt tolerance, positively regulates SAS in Arabidopsis thaliana. SOS2 directly phosphorylates PIF4 and PIF5 at a serine residue close to their conserved motif for binding to active phyB. This phosphorylation thus decreases their interaction with phyB and post-translationally promotes PIF4 and PIF5 protein accumulation. Notably, the role of SOS2 in regulating PIF4 and PIF5 protein abundance and SAS is more prominent under salt stress. Moreover, phyA and phyB physically interact with SOS2 and promote SOS2 kinase activity in the light. Collectively, our study uncovers an unexpected role of salt-activated SOS2 in promoting SAS by modulating the phyB-PIF module, providing insight into the coordinated response of plants to salt stress and shade.
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Affiliation(s)
- Run Han
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Liang Ma
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yang Lv
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Lijuan Qi
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jing Peng
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Hong Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yangyang Zhou
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Pengyu Song
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jie Duan
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jianfang Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Zhen Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - William Terzaghi
- Department of Biology, Wilkes University, Wilkes-Barre, Pennsylvania 18766, USA
| | - Yan Guo
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jigang Li
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing 100193, China
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Zhang XF, Wang Z, Liu WX, Li F, He J, Zhang F, Zhang MY, Qi L, Li Y. [Thoracoscopic laparoscopy-assisted Ivor-Lewis resection of esophagogastric junction cancer]. Zhonghua Zhong Liu Za Zhi 2023; 45:368-374. [PMID: 37078219 DOI: 10.3760/cma.j.cn112152-20220920-00641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Objective: To investigate the outcome of patients with esophagogastric junction cancer undergoing thoracoscopic laparoscopy-assisted Ivor-Lewis resection. Methods: Eighty-four patients who were diagnosed with esophagogastric junction cancer and underwent Ivor-Lewis resection assisted by thoracoscopic laparoscopy at the National Cancer Center from October 2019 to April 2022 were collected. The neoadjuvant treatment mode, surgical safety and clinicopathological characteristics were analyzed. Results: Siewert type Ⅱ (92.8%) and adenocarcinoma (95.2%) were predominant in the cases. A total of 2 774 lymph nodes were dissected in 84 patients. The average number was 33 per case, and the median was 31. Lymph node metastasis was found in 45 patients, and the lymph node metastasis rate was 53.6% (45/84). The total number of lymph node metastasis was 294, and the degree of lymph node metastasis was 10.6%(294/2 774). Among them, abdominal lymph nodes (100%, 45/45) were more likely to metastasize than thoracic lymph nodes (13.3%, 6/45). Sixty-eight patients received neoadjuvant therapy before surgery, and nine patients achieved pathological complete remission (pCR) (13.2%, 9/68). Eighty-three patients had negative surgical margins and underwent R0 resection (98.8%, 83/84). One patient, the intraoperative frozen pathology suggested resection margin was negative, while vascular tumor thrombus was seen on the postoperative pathological margin, R1 resection was performed (1.2%, 1/84). The average operation time of the 84 patients was 234.5 (199.3, 275.0) minutes, and the intraoperative blood loss was 90 (80, 100) ml. One case of intraoperative blood transfusion, one case of postoperative transfer to ICU ward, two cases of postoperative anastomotic leakage, one case of pleural effusion requiring catheter drainage, one case of small intestinal hernia with 12mm poke hole, no postoperative intestinal obstruction, chyle leakage and other complications were observed. The number of deaths within 30 days after surgery was 0. Number of lymph nodes dissection, operation duration, and intraoperative blood loss were not related to whether neoadjuvant therapy was performed (P>0.05). Preoperative neoadjuvant chemotherapy combined with radiotherapy or immunotherapy was not related to whether postoperative pathology achieved pCR (P>0.05). Conclusion: Laparoscopic-assisted Ivor-Lewis surgery for esophagogastric junction cancer has a low incidence of intraoperative and postoperative complications, high safety, wide range of lymph node dissection, and sufficient margin length, which is worthy of clinical promotion.
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Affiliation(s)
- X F Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Hebei Cancer Hospital, Chinese Academy of Medical Sciences, Langfang 065001, China
| | - Z Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W X Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Hebei Cancer Hospital, Chinese Academy of Medical Sciences, Langfang 065001, China
| | - F Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Hebei Cancer Hospital, Chinese Academy of Medical Sciences, Langfang 065001, China
| | - J He
- Department of Thoracic Surgery, Heibei General Hospital, Shijiazhuang 050051, China
| | - F Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Y Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Qi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Zhang Z, Zhao J, Man H, Qi L, Yin H, Lv Z, Jiang Y, Dong J, Zeng M, Cai Z, Luo Z, He K, Liu H. Updating emission inventories for vehicular organic gases: Indications from cold-start and temperature effects on advanced technology cars. Sci Total Environ 2023; 882:163544. [PMID: 37076011 DOI: 10.1016/j.scitotenv.2023.163544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 05/03/2023]
Abstract
How would the organic gas emission inventories of future urban vehicles change with new features of advanced technology cars? Here, volatile organic compounds (VOCs) and intermediate volatile organic compounds (IVOCs) from a fleet of Chinese light-duty gasoline vehicles (LDGVs) were characterized by chassis dynamometer experiments to grasp the key factors affecting future inventory accuracy. Subsequently, the VOC and IVOC emissions of LDGVs in Beijing, China, from 2020 to 2035, were calculated and the spatial-temporal variations were recognized under a scenario of fleet renewal. With the tightening of emission standards (ESs), cold start contributed a larger fraction of the total unified cycle VOC emissions due to the imbalanced emission reductions between operating conditions. It took 757.47 ± 337.75 km of hot running to equal one cold-start VOC emission for the latest certified vehicles. Therefore, the future tailpipe VOC emissions would be highly dependent on discrete cold start events rather than traffic flows. By contrast, the equivalent distance was shorter and more stable for IVOCs, with an average of 8.69 ± 4.59 km across the ESs, suggesting insufficient controls. Furthermore, there were log-linear relationships between temperatures and cold-start emissions, and the gasoline direct-injection vehicles performed better adaptability under low temperatures. In the updated emission inventories, the VOC emissions were more effectively reduced than the IVOC emissions. The start emissions of VOCs were estimated to be increasingly dominant, especially in wintertime. By winter 2035, the contribution of VOC start emissions could reach 98.98 % in Beijing, while the fraction of IVOC start emissions would decrease to 59.23 %. Spatially allocation showed that the high emission regions of tailpipe organic gases from LDGVs have transferred from road networks to regions of intense human activities. Our results provide new insights into tailpipe organic gas emissions of gasoline vehicles, and can support future emission inventories and refined assessment of air quality and human health risk.
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Affiliation(s)
- Zhining Zhang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Junchao Zhao
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Hanyang Man
- College of Environment and Resource Sciences, Fujian Key Laboratory of Pollution Control & Resource Reuse, Fuzhou 350007, China
| | - Lijuan Qi
- State Key Laboratory of Plateau Ecology and Agriculture, College of Eco-environmental Engineering, Qinghai University, Xining 810016, China
| | - Hang Yin
- State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Vehicle Emission Control Center, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zhaofeng Lv
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Yuheng Jiang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Junjie Dong
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Meng Zeng
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Zhitao Cai
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Zhenyu Luo
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Kebin He
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Huan Liu
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China.
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Qi L, Zhang X, Wu R, Fang Q, Yu J, Hu X, Chen L, Shang X, Sun X, Zhou P, Si J, Wang Z, Jiang Y, Du Y. Universal Detection and Imaging for Multiple Targets by Coupling Target-Primed Nicking-Enhanced Rolling Circle Amplification with Self-Powered DNAzyme Walker. Anal Chem 2023; 95:6433-6440. [PMID: 37026469 DOI: 10.1021/acs.analchem.3c00356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
Although promising in monitoring low-abundance analytes, most of the DNAzyme walker is only responsive to a specific target. Herein, a universal, ready-to-use platform is developed by coupling nicking-enhanced rolling circle amplification and a self-powered DNAzyme walker (NERSD). It addressed the issues that DNAzyme strands need to be specifically designed for different biosensing system, allowing highly sensitive analysis of various targets with the same DNAzyme walker components. It is also specific owing to target-dependent ligation of the padlock probe and precise cleavage of a substrate by a DNAzyme strand. As typically demonstrated, the strategy has an equivalent capacity with the qRT-PCR kit in distinguishing plasma miR-21 levels of breast cancer patients from normal subjects and is able to differentiate intracellular miR-21 and ATP levels by confocal imaging. The approach characteristic of programmability, flexibility, and generality indicated the potential in all kinds of biosensing and imaging platform.
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Affiliation(s)
- Lijuan Qi
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
- Department of Chemistry, University of Science and Technology of China, Hefei 230000, China
| | - Xiaojun Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
| | - Rong Wu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
- Department of Chemistry, University of Science and Technology of China, Hefei 230000, China
| | - Qi Fang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
- Department of Chemistry, University of Science and Technology of China, Hefei 230000, China
| | - Jingyuan Yu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
- Department of Chemistry, University of Science and Technology of China, Hefei 230000, China
| | - Xintong Hu
- Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun 130000, China
| | - Liguo Chen
- Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun 130000, China
| | - Xudong Shang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
| | - Xudong Sun
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
- Department of Chemistry, University of Science and Technology of China, Hefei 230000, China
| | - Peiwen Zhou
- Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun 130000, China
| | - Junzhuo Si
- Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun 130000, China
| | - Zhenxin Wang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
- Department of Chemistry, University of Science and Technology of China, Hefei 230000, China
| | - Yanfang Jiang
- Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun 130000, China
| | - Yan Du
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130000, China
- Department of Chemistry, University of Science and Technology of China, Hefei 230000, China
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Qi L, Zhang B, Liu Y, Mu L, Li Q, Wang X, Xu JP, Wang XY, Huang J. [Clinical analysis of liver dysfunction induced by SHR-1210 alone or combined with apatinib and chemotherapy in patients with advanced esophageal squamous cell carcinoma]. Zhonghua Zhong Liu Za Zhi 2023; 45:259-264. [PMID: 36944547 DOI: 10.3760/cma.j.cn112152-20200927-00858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Objective: To investigate the clinical characteristics of abnormal liver function in patients with advanced esophageal squamous carcinoma treated with programmed death-1 (PD-1) antibody SHR-1210 alone or in combination with apatinib and chemotherapy. Methods: Clinical data of 73 patients with esophageal squamous carcinoma from 2 prospective clinical studies conducted at the Cancer Hospital Chinese Academy of Medical Sciences from May 11, 2016, to November 19, 2019, were analyzed, and logistic regression analysis was used for the analysis of influencing factors. Results: Of the 73 patients, 35 had abnormal liver function. 13 of the 43 patients treated with PD-1 antibody monotherapy (PD-1 monotherapy group) had abnormal liver function, and the median time to first abnormal liver function was 55 days. Of the 30 patients treated with PD-1 antibody in combination with apatinib and chemotherapy (PD-1 combination group), 22 had abnormal liver function, and the median time to first abnormal liver function was 41 days. Of the 35 patients with abnormal liver function, 2 had clinical symptoms, including malaise and loss of appetite, and 1 had jaundice. 28 of the 35 patients with abnormal liver function returned to normal and 7 improved to grade 1, and none of the patients had serious life-threatening or fatal liver function abnormalities. Combination therapy was a risk factor for patients to develop abnormal liver function (P=0.007). Conclusions: Most of the liver function abnormalities that occur during treatment with PD-1 antibody SHR-1210 alone or in combination with apatinib and chemotherapy are mild, and liver function can return to normal or improve with symptomatic treatment. For patients who receive PD-1 antibody in combination with targeted therapy and chemotherapy and have a history of long-term previous smoking, alcohol consumption and hepatitis B virus infection, liver function should be monitored and actively managed in a timely manner.
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Affiliation(s)
- L Qi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - B Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Mu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Q Li
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J P Xu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Y Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Huang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Ye LL, Zhou JH, Tian YL, Liu SX, Liu JX, Ye JM, Cui J, Chen C, Wang J, Wu YQ, Qiu Y, Wei B, Qiu YD, Zheng XL, Qi L, Lv YB, Zhang J. [Association of greenness exposure with waist circumference and central obesity in Chinese adults aged 65 years and over]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:86-92. [PMID: 36854442 DOI: 10.3760/cma.j.cn112150-20221117-01118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Objective: To examine the association of greenness exposure with waist circumference (WC) and central obesity in older adults in China. Methods: Based on the cross-sectional data from the Chinese Longitudinal Healthy Longevity Survey in 2017-2018, 14 056 participants aged 65 years and over were included. Demographic characteristics, lifestyle, WC, and other information were collected through a questionnaire and physical examination. Based on the satellite monitoring data of moderate-resolution imaging spectroradiometer (MODIS) provided by NASA, the annual mean of normalized difference vegetation index (NDVI) within a radius of 1 000 meters was obtained as the measurement value of greenness exposure. Multivariate linear regression model, multivariate logistic regression model, and restricted cubic splines (RCS) model were used to analyze the association and dose-response relationship between greenness exposure and WC and central obesity in older adults in China. Results: A total of 14 056 participants were enrolled with a median age of 84.0 years [IQR: 75.0-94.0 years]. About 45.0% (6 330) of them were male and 48.6% (5 853) were illiterate. There were 10 964 (78.0%) participants from rural. The mean of WC was (84.4±10.8) cm. Central obesity accounted for 60.2% (8 465), and the NDVI range was (-0.06, 0.78). After adjusting for confounding factors, the multivariate linear regression model showed that the change value of WC in the urban group [β (95%CI):-0.49 (-0.93, -0.06)] was smaller than that in the rural [-0.78 (-0.98, -0.58)] for every 0.1 unit increase in NDVI (Pinteraction=0.022). Compared with the Q1 group in NDVI, WC of Q2 and Q3 groups in rural decreased, and the β (95%CI) values were-1.74 (-2.5, -0.98) and-2.78 (-3.55, -2.00), respectively. The multivariate logistic regression model showed that after adjusting for confounding factors, the risk of central obesity decreased for urban and rural older adults with an increase of 0.1 unit in NDVI, and the OR (95%CI) values were 0.87 (0.80, 0.95) and 0.86 (0.82, 0.89), respectively (Pinteraction=0.284). Compared with the Q1 group in NDVI, the risk of central obesity in the Q2 and Q3 groups in rural was lower, and the OR (95%CI) values were 0.68 (0.58, 0.80) and 0.57 (0.49, 0.68), respectively. The results of the multivariate regression model with RCS showed that there was a non-linear association of NDVI with WC (Pnonlinear=0.006) and central obesity (Pnonlinear=0.025). Conclusion: Greenness exposure is negatively associated with WC and central obesity in older adults in China.
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Affiliation(s)
- L L Ye
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J H Zhou
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y L Tian
- Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - S X Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J X Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J M Ye
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Cui
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C Chen
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Wang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Q Wu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Qiu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - B Wei
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y D Qiu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X L Zheng
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L Qi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lv
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Zhang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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Wu PY, Wang T, Chen BJ, Shi MK, Huang B, Wu ND, Qi L, Chang XF, Wang LF, Liu BR, Ren W. [Efficacy and safety of neoadjuvant chemotherapy combined with PD-1 antibody for esophageal squamous cell carcinoma in the real world]. Zhonghua Zhong Liu Za Zhi 2023; 45:170-174. [PMID: 36781239 DOI: 10.3760/cma.j.cn112152-20210806-00586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Objective: To evaluate the efficacy and safety of neoadjuvant chemotherapy combined with programmed death-1 (PD-1) antibody in operable, borderline or potentially resectable locally advanced esophageal squamous cell carcinoma(ESCC) in the real world. Methods: The study retrospectively analyzed 28 patients with operable or potentially resectable locally advanced ESCC patients treated with preoperative chemotherapy combined with PD-1 inhibitor in Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School from April 2020 to March 2021. According to the clinical TNM staging system of the 8th edition of the American Joint Committee on Cancer, there were 1, 15, 10, 1 and 1 case of stage Ⅱ, Ⅲ, ⅣA, ⅣB and unknown stage respectively. The treatment was two cycle of dual drug chemotherapy regimen including taxane plus platinum or fluorouracil combined with PD-1 antibody followed by tumor response assessment and surgery if the patient was eligible for resection. Results: Of the 28 patients, 1, 2, 3 and 4 cycles of chemotherapy combined with PD-1 antibody treatment completed in 1, 21, 5, and 1 patient, respectively. Objective response rate (ORR) was 71.4% (20/28), and disease control rate (DCR) was 100% (28/28). The incidence of adverse events exceeding grade 3 levels was 21.4% (6/28), including 3 neutropenia, 1 leukopenia, 1 thrombocytopenia and 1 immune hepatitis. There was no treatment-related death. Of the 23 patients underwent surgery, R0 resection rate was 87.0% (20/23), 13 patients had down staged to the T1-2N0M0 I stage, the pCR rate was 17.3% (4/23), and the pCR rate of primary tumor was 21.7% (5/23). Four patients received definitive chemoradiotherapy. One patient rejected surgery and other treatment after achieved PR response. Conclusion: Neoadjuvant chemotherapy combined PD-1 inhibitor is safe and has high efficacy in operable, borderline or potentially resectable locally advanced ESCC, and it is a promising regimen.
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Affiliation(s)
- P Y Wu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - T Wang
- Departement of General Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B J Chen
- Departement of General Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - M K Shi
- Departement of General Thoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B Huang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - N D Wu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - L Qi
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X F Chang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - L F Wang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B R Liu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - W Ren
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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Zhang B, Wang X, Zhu LJ, Zhu WY, Li Q, Liu Y, Qi L, Shu YQ, Huang J. [Combination of anlotinib and irinotecan in the second-line treatment of metastatic colorectal cancer: a multicenter phase 1/2 trial]. Zhonghua Zhong Liu Za Zhi 2023; 45:95-100. [PMID: 36709126 DOI: 10.3760/cma.j.cn112152-20210722-00535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Objective: To evaluate the safety and efficacy of anlotinib plus irinotecan in the second-line treatment of patients with metastatic colorectal cancer (mCRC). Methods: This prospective phase 1/2 study was conducted in 2 centers in China (Cancer Hospital of Chinese Academy of Medical Sciences and Jiangsu Province Hospital). We enrolled patients with mCRC whose disease had progressed after first-line systemic therapy and had not previously treated with irinotecan to receive anlotinib plus irinotecan. In the phase 1 of the trial, patients received anlotinib (8 mg, 10 mg or 12 mg, po, 2 weeks on/1 week off) in combination with fixed-dose irinotecan (180 mg/m(2), iv, q2w) to define the maximum tolerated dose (MTD) and recommended phase 2 dose (RP2D). In the phase 2, patients were treated with the RP2D of anlotinib and irinotecan. The primary endpoints were MTD and objective response rate (ORR). Results: From May 2018 to January 2020, a total of 31 patients with mCRC were enrolled. Anlotinib was well tolerated in combination with irinotecan with no MTD identified in the phase 1, and the RP2D was 12 mg. Thirty patients were evaluable for efficacy analysis. Eight patients achieved partial response, and 21 had stable disease, 1 had progressive disease. The ORR was 25.8% and the disease control rate was 93.5%. With a median follow-up duration of 29.5 months, the median progression-free survival and overall survival were 6.9 months (95% CI: 3.7, 9.3) and 17.6 months (95% CI: 12.4, not evaluated), respectively. The most common grade 3 treatment-related adverse events (≥10%) were neutropenia (25.8%) and diarrhea (16.1%). There was no treatment-related death. Conclusion: The combination of anlotinib and irinotecan has promising anti-tumor activity in the second-line treatment of mCRC with a manageable safety profile.
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Affiliation(s)
- B Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Wang
- Daycare Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L J Zhu
- Department of Medical Oncology, Jiangsu Province Hospital, Nanjing 210029, China
| | - W Y Zhu
- Department of Medical Oncology, Jiangsu Province Hospital, Nanjing 210029, China
| | - Q Li
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Qi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Q Shu
- Department of Medical Oncology, Jiangsu Province Hospital, Nanjing 210029, China
| | - J Huang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Zhao J, Qi L, Lv Z, Wang X, Deng F, Zhang Z, Luo Z, Bie P, He K, Liu H. An updated comprehensive IVOC emission inventory for mobile sources in China. Sci Total Environ 2022; 851:158312. [PMID: 36041606 DOI: 10.1016/j.scitotenv.2022.158312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/27/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Intermediate volatility organic compounds (IVOCs) from mobile sources contribute significantly to secondary organic aerosol (SOA) formation. However, the assessments of IVOC emissions remain considerably uncertain due to the lack of localized measured data and detailed emission source classifications. This study established a comprehensive database of IVOC emission factors (EFs) for mobile sources based on the diversified measured EFs and correlations with hydrocarbons. The provincial-level IVOC emission inventories over China were further established by integrating activity data of various mobile sources. The national mobile source IVOC emissions were 507.5 Gg in 2017. The IVOC emissions of on-road and non-road mobile sources were roughly the same. Trucks and non-road construction machineries were the major contributors to IVOC emissions, accounting for >66 % of the total. The IVOC emission characteristics and spatial distributions from various mobile sources varied significantly with different types and usages. The IVOC emission inventories with detailed classifications can be used to evaluate emission control policies for mobile sources. Incorporating localized measured data would be beneficial for a better understanding for the atmospheric impacts of mobile source IVOC emissions.
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Affiliation(s)
- Junchao Zhao
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Lijuan Qi
- State Key Laboratory of Plateau Ecology and Agriculture, College of Eco-environmental Engineering, Qinghai University, Xining 810016, China
| | - Zhaofeng Lv
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Xiaotong Wang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Fanyuan Deng
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Zhining Zhang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Zhenyu Luo
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Pengju Bie
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Kebin He
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Huan Liu
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China.
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Qi L, Sun C, Sun S, Li A, Hu Q, Liu Y, Zhang Y. Phosphatidylinositol (3,5)-bisphosphate machinery regulates neurite thickness through neuron-specific endosomal protein NSG1/NEEP21. J Biol Chem 2022; 299:102775. [PMID: 36493904 PMCID: PMC9823133 DOI: 10.1016/j.jbc.2022.102775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 10/31/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022] Open
Abstract
Phosphatidylinositol (3,5)-bisphosphate [PtdIns(3,5)P2] is a critical signaling phospholipid involved in endolysosome homeostasis. It is synthesized by a protein complex composed of PIKfyve, Vac14, and Fig4. Defects in PtdIns(3,5)P2 synthesis underlie a number of human neurological disorders, including Charcot-Marie-Tooth disease, child onset progressive dystonia, and others. However, neuron-specific functions of PtdIns(3,5)P2 remain less understood. Here, we show that PtdIns(3,5)P2 pathway is required to maintain neurite thickness. Suppression of PIKfyve activities using either pharmacological inhibitors or RNA silencing resulted in decreased neurite thickness. We further find that the regulation of neurite thickness by PtdIns(3,5)P2 is mediated by NSG1/NEEP21, a neuron-specific endosomal protein. Knockdown of NSG1 expression also led to thinner neurites. mCherry-tagged NSG1 colocalized and interacted with proteins in the PtdIns(3,5)P2 machinery. Perturbation of PtdIns(3,5)P2 dynamics by overexpressing Fig4 or a PtdIns(3,5)P2-binding domain resulted in mislocalization of NSG1 to nonendosomal locations, and suppressing PtdIns(3,5)P2 synthesis resulted in an accumulation of NSG1 in EEA1-positive early endosomes. Importantly, overexpression of NSG1 rescued neurite thinning in PtdIns(3,5)P2-deficient CAD neurons and primary cortical neurons. Our study uncovered the role of PtdIns(3,5)P2 in the morphogenesis of neurons, which revealed a novel aspect of the pathogenesis of PtdIns(3,5)P2-related neuropathies. We also identified NSG1 as an important downstream protein of PtdIns(3,5)P2, which may provide a novel therapeutic target in neurological diseases.
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Affiliation(s)
- Lijuan Qi
- Department of Biochemistry and Molecular Biology, Soochow University Medical College, Suzhou, Jiangsu, China,National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Chen Sun
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, China
| | - Shenqing Sun
- Department of Biochemistry and Molecular Biology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Aiqing Li
- Department of Biochemistry and Molecular Biology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Qiuming Hu
- Department of Biochemistry and Molecular Biology, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Yaobo Liu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, China
| | - Yanling Zhang
- Department of Biochemistry and Molecular Biology, Soochow University Medical College, Suzhou, Jiangsu, China,For correspondence: Yanling Zhang
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Zhao J, Lv Z, Qi L, Zhao B, Deng F, Chang X, Wang X, Luo Z, Zhang Z, Xu H, Ying Q, Wang S, He K, Liu H. Comprehensive Assessment for the Impacts of S/IVOC Emissions from Mobile Sources on SOA Formation in China. Environ Sci Technol 2022; 56:16695-16706. [PMID: 36399649 DOI: 10.1021/acs.est.2c07265] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Semivolatile/intermediate-volatility organic compounds (S/IVOCs) from mobile sources are essential SOA contributors. However, few studies have comprehensively evaluated the SOA contributions of S/IVOCs by simultaneously comparing different parameterization schemes. This study used three SOA schemes in the CMAQ model with a measurement-based emission inventory to quantify the mobile source S/IVOC-induced SOA (MS-SI-SOA) for 2018 in China. Among different SOA schemes, SOA predicted by the 2D-VBS scheme was in the best agreement with observations, but there were still large deviations in a few regions. Three SOA schemes showed the peak value of annual average MS-SI-SOA was up to 0.6 ± 0.3 μg/m3. High concentrations of MS-SI-SOA were detected in autumn, while the notable relative contribution of MS-SI-SOA to total SOA was predicted in the coastal areas in summer, with a regional average contribution up to 20 ± 10% in Shanghai. MS-SI-SOA concentrations varied by up to 2 times among three SOA schemes, mainly due to the discrepancy in SOA precursor emissions and chemical reactions, suggesting that the differences between SOA schemes should also be considered in modeling studies. These findings identify the hotspot areas and periods for MS-SI-SOA, highlighting the importance of S/IVOC emission control in the future upgrading of emission standards.
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Affiliation(s)
- Junchao Zhao
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Zhaofeng Lv
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Lijuan Qi
- State Key Laboratory of Plateau Ecology and Agriculture, College of Eco-environmental Engineering, Qinghai University, Xining810016, China
| | - Bin Zhao
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Fanyuan Deng
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Xing Chang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Xiaotong Wang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Zhenyu Luo
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Zhining Zhang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Hailian Xu
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Qi Ying
- Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas77843, United States
| | - Shuxiao Wang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Kebin He
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
| | - Huan Liu
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China
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Jia MM, Liu XZ, Qi L, Dai PX, Li Q, Jiang MY, Tang WW, Tan MW, Li TT, Jiang BS, Ren YH, Rao JL, Yan ZY, Cao YL, Yang WZ, Ran H, Feng L. [Application of pretrained model based on electronic medical record in recognition of acute respiratory infection]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1543-1548. [PMID: 36372741 DOI: 10.3760/cma.j.cn1112150-20220805-00789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To evaluate the recognition of acute respiratory infection (ARI) by a pretrained model based on electronic medical records (EMRs). Methods: 38 581 EMRs were obtained from Chongqing University Three Gorges Hospital in December 2021. Bidirectional encoder representation from transformers (BERT) pretrained model was used to identify ARI in EMRs. The results of medical professionals were considered as the gold standard to calculate the sensitivity, specificity, Kappa value, and area under the curve of the receiver operating characteristic (AUC). Results: There were 3 817 EMRs in the test set, with 1 200 ARIs. A total of 1 205 cases were determined as ARI by the model, with a sensitivity of 92.67% (1 112/1 200) and a specificity of 96.45% (2 524/2 617). The model identified ARI with similar accuracy in males and females (AUCs 0.95 and 0.94, respectively), and was more accurate in identifying ARI cases in those aged less than 18 than in adults 18-59 and adults 60 and older (AUCs 0.94, 0.89 and 0.94, respectively). The current model had a better identification of ARIs in outpatient patients than that in hospitalized patients, with AUCs of 0.74 and 0.95, respectively. Conclusion: The use of the BERT pretrained model based on EMRs has a good performance in the recognition of ARI cases, especially for the outpatients and juveniles. It shows a great potential to be applied to the monitoring of ARI cases in medical institutions.
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Affiliation(s)
- M M Jia
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - X Z Liu
- Department of Infection Management, Chongqing University Three Gorges Hospital, Chongqing 404000, China
| | - L Qi
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - P X Dai
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - Q Li
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - M Y Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - W W Tang
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - M W Tan
- Department of Infection Management, Chongqing University Three Gorges Hospital, Chongqing 404000, China
| | - T T Li
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - B S Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - Y H Ren
- Department of Infectious Disease Prevention and Control, Wanzhou District Center for Disease Control and prevention, Chongqing 404199, China
| | - J L Rao
- Department of Infection Management, Chongqing University Three Gorges Hospital, Chongqing 404000, China
| | - Z Y Yan
- Department of Infectious Disease Prevention and Control, Wanzhou District Center for Disease Control and prevention, Chongqing 404199, China
| | - Y L Cao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - W Z Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - H Ran
- Department of Infectious Disease Prevention and Control, Wanzhou District Center for Disease Control and prevention, Chongqing 404199, China
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
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22
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Yamamoto T, Kabus S, Bal M, Keall P, Moran A, Wright C, Benedict S, Holland D, Mahaffey N, Qi L, Daly M. EP05.01-019 4D CT Ventilation Image-Guided Lung Functional Avoidance Radiotherapy: A Single-Arm Prospective Pilot Clinical Trial. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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23
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Zhang J, Qi L, Wang T, An J, Zhou B, Fang Y, Liu Y, Shan M, Hong D, Wu D, Xu Y, Liu T. FEV Maintains Homing and Expansion by Activating ITGA4 Transcription in Primary and Relapsed AML. Front Oncol 2022; 12:890346. [PMID: 35875066 PMCID: PMC9300928 DOI: 10.3389/fonc.2022.890346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Acute myeloid leukemia (AML) is an aggressive hematological malignancy that recurs in approximately 50% of cases. Elevated homing and uncontrolled expansion are characteristics of AML cells. Here, we identified that Fifth Ewing Variant (FEV) regulates the homing and expansion of AML cells. We found that FEV was re-expressed in 30% of primary AML samples and in almost all relapsed AML samples, and FEV expression levels were significantly higher in relapsed samples compared to primary samples. Interference of FEV expression in AML cell lines delayed leukemic progression and suppressed homing and proliferation. Moreover, FEV directly activated integrin subunit alpha 4 (ITGA4) transcription in a dose-dependent manner. Inhibition of integrin α4 activity with natalizumab (NZM) reduced the migration and colony-forming abilities of blasts and leukemic-initiating cells (LICs) in both primary and relapsed AML. Thus, our study suggested that FEV maintains the homing and expansion of AML cells by activating ITGA4 transcription and that targeting ITGA4 inhibits the colony-forming and migration capacities of blasts and LICs. Thus, these findings suggested that the FEV-ITGA4 axis may be a therapeutic target for both primary and relapsed AML.
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Affiliation(s)
- Jubin Zhang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Lijuan Qi
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Tanzhen Wang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Jingnan An
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Biqi Zhou
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Yanglan Fang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Yujie Liu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Meng Shan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Dengli Hong
- Key Laboratory of Cell Differentiation and Apoptosis of Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine (SJTU-SM), Shanghai, China
| | - Depei Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
- *Correspondence: Tianhui Liu, ; Yang Xu, ; Depei Wu,
| | - Yang Xu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
- *Correspondence: Tianhui Liu, ; Yang Xu, ; Depei Wu,
| | - Tianhui Liu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
- *Correspondence: Tianhui Liu, ; Yang Xu, ; Depei Wu,
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24
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Liu Y, Qi L, Wang T, Zhou B, Chen J, Xiao J, Fang Y, Yang Q, Feng Y, Wu D, Xu Y. The clinical outcomes of mixed engraftment patients treated with haploidentical stem cells combined with umbilical cord blood transplantation. Leuk Lymphoma 2022; 63:2696-2700. [PMID: 35719092 DOI: 10.1080/10428194.2022.2086245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Yujie Liu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Lijuan Qi
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Tanzhen Wang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Biqi Zhou
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Jia Chen
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Jinyan Xiao
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Yanglan Fang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Qiannan Yang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Yufeng Feng
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Depei Wu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
| | - Yang Xu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, PR China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, PR China
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25
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Abstract
Changes in the level of nucleic acids in blood may be correlated with some clinical disorders like cancer, stroke, trauma and autoimmune diseases, and thus, nucleic acids can serve as potential biomarkers for pathological processes. The requirement of technical equipment and operator expertise in effective information readout of modern molecular diagnostic technologies significantly restricted application outside clinical laboratories. The ability to detect nucleic acid biomarkers with off-the-shelf devices, which have the advantages of portability, simplicity, low cost and short response time, is critical to provide a prompt clinical result in circumstances where the laboratory instruments are not available. This review throws light on the current strategies and challenges for nucleic acid diagnosis with commercial portable devices, indicating the future prospect of portable diagnostic devices and making a great difference in improving the healthcare and disease surveillance in resource-limited areas.
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Affiliation(s)
- Lijuan Qi
- State key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Jilin, P. R. China. .,Department of Chemistry, University of Science and Technology of China, Anhui, P. R. China
| | - Yan Du
- State key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Jilin, P. R. China. .,Department of Chemistry, University of Science and Technology of China, Anhui, P. R. China
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26
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Jia B, Fei C, Ren J, Wang M, He JL, Xu ZC, Lu YF, Qi L, Liao YH, Qiao F. [Clinical study of digital six-axis external fixation frame based on CT data for tibiofibular fractures]. Zhonghua Wai Ke Za Zhi 2022; 60:552-557. [PMID: 35658342 DOI: 10.3760/cma.j.cn112139-20211206-00580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the clinical effect of applying the digital six-axis external fixation frame based on CT data in the treatment of tibiofibular fractures. Methods: The clinical data of 43 patients with tibiofibular fractures treated by the self-developed digital six-axis external fixation frame based on CT data at Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital from January 2018 to January 2021 were retrospective analysis.There were 27 males and 16 females,aged (36.0±9.4) years(range:25 to 50 years).AO classification:15 cases of 42A,11 cases of 42B, and 17 cases of 42C.There were 7 open fractures and Gustilo fracture classification:2 cases of type Ⅰ,4 cases of type Ⅱ,and 1 case of type Ⅲ.The two or three plane rings were connected with six connecting rods to form a complete six-axis external fixation frame,and the distal and proximal fracture blocks were connected to the distal and proximal rings by fixation pins,and the lengths of the six connecting rods needed to be adjusted were calculated by using the supporting software according to the CT data after surgery,and then the lengths of the connecting rods were adjusted one by one to complete the reduction of the fracture. The reduction accuracy of this six-axis external fixation brace was evaluated by measuring postoperative radiographs; postoperative recovery and complications were collected,the time of brace removal was recorded,and the function of the affected limb was evaluated according to the Johner-Wruhs score at the final follow-up. Results: Postoperative radiographs showed that all patients achieved satisfactory reduction with lateral displacement(M(IQR)) of 2.3(2.5) mm (range:0.3 to 7.3 mm),anteroposterior displacement of 2.1 (2.4) mm (range:0.3 to 5.7 mm),anteroposterior angulation of 2.5(2.4)°(range:0 to 5°),internal and external angulation of 2.1(1.5)°(range:0 to 4°), and no significant internal or external rotational deformity was detected on the exterior.On the second postoperative day,all patients were able to walk with partial weight-bearing on crutches. All 43 patients were followed up for more than 6 months,with a follow-up period of (33.3±7.3) weeks (range:24 to 42 weeks).The external fixation frame was removed after the fracture healed.The external frame was removed at 20(3)weeks (range:18 to 25 weeks) postoperatively. Up to the final follow up, no secondary fracture occurred in any of them.The Johner-Wruhs score of the affected limb at the last follow-up was excellent in 39 cases and good in 4 cases. Conclusion: The digital six-axis external fixator based on CT data for tibiofibular fractures has the advantages of precise reduction,firm fixation,simple operation,rapid fracture healing,and minimal trauma, which is a minimally invasive method for treating tibiofibular fractures,especially suitable for patients with poor skin and soft tissue conditions such as open injuries.
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Affiliation(s)
- B Jia
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - C Fei
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - J Ren
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - M Wang
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - J L He
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - Z C Xu
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - Y F Lu
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - L Qi
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - Y H Liao
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - F Qiao
- Integrated Orthopedic Department of Traditional Chinese Medicine (TCM) and Western Medicine,HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
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27
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Peng J, Wang M, Wang X, Qi L, Guo C, Li H, Li C, Yan Y, Zhou Y, Terzaghi W, Li Z, Song CP, Qin F, Gong Z, Li J. COP1 positively regulates ABA signaling during Arabidopsis seedling growth in darkness by mediating ABA-induced ABI5 accumulation. Plant Cell 2022; 34:2286-2308. [PMID: 35263433 PMCID: PMC9134052 DOI: 10.1093/plcell/koac073] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 02/08/2022] [Indexed: 05/12/2023]
Abstract
CONSTITUTIVELY PHOTOMORPHOGENIC1 (COP1), a well-characterized E3 ubiquitin ligase, is a central repressor of seedling photomorphogenic development in darkness. However, whether COP1 is involved in modulating abscisic acid (ABA) signaling in darkness remains largely obscure. Here, we report that COP1 is a positive regulator of ABA signaling during Arabidopsis seedling growth in the dark. COP1 mediates ABA-induced accumulation of ABI5, a transcription factor playing a key role in ABA signaling, through transcriptional and post-translational regulatory mechanisms. We further show that COP1 physically interacts with ABA-hypersensitive DCAF1 (ABD1), a substrate receptor of the CUL4-DDB1 E3 ligase targeting ABI5 for degradation. Accordingly, COP1 directly ubiquitinates ABD1 in vitro, and negatively regulates ABD1 protein abundance in vivo in the dark but not in the light. Therefore, COP1 promotes ABI5 protein stability post-translationally in darkness by destabilizing ABD1 in response to ABA. Interestingly, we reveal that ABA induces the nuclear accumulation of COP1 in darkness, thus enhancing its activity in propagating the ABA signal. Together, our study uncovers that COP1 modulates ABA signaling during seedling growth in darkness by mediating ABA-induced ABI5 accumulation, demonstrating that plants adjust their ABA signaling mechanisms according to their light environment.
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Affiliation(s)
- Jing Peng
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Meijiao Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Xiaoji Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Lijuan Qi
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Can Guo
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Hong Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Cong Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yan Yan
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yun Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, Collaborative Innovation Center of Crop Stress Biology, Henan University, Kaifeng 475004, China
| | - William Terzaghi
- Department of Biology, Wilkes University, Wilkes-Barre, Pennsylvania 18766, USA
| | - Zhen Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Chun-Peng Song
- State Key Laboratory of Crop Stress Adaptation and Improvement, Collaborative Innovation Center of Crop Stress Biology, Henan University, Kaifeng 475004, China
| | - Feng Qin
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Zhizhong Gong
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
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28
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Guo YH, Shen XX, Liu Y, Qi L, Zhang XY, Jin DC, Jin HX. [Influencing factors analysis on live birth outcome of D3 cleavage stage frozen-thawed embryo after overnight culture and development of nomogram prediction model]. Zhonghua Yi Xue Za Zhi 2022; 102:877-883. [PMID: 35330582 DOI: 10.3760/cma.j.cn112137-20211127-02658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To analyze the factors affecting the live birth outcome of D3 cleavage stage frozen-thawed embryos after overnight culture, and establish a nomogram model to predict the live birth probability. Methods: The clinical data of assisted reproductive patients treated with D3 cleavage stage frozen-thawed embryo transfer in the First Affiliated Hospital of Zhengzhou University from January 2017 to July 2020 were analyzed retrospectively. A total of 5 456 patients were divided into modeling group and validation group according to the ratio of 7∶3. The modeling group [3 831 patients with average age of (33±6) years] was used to evaluate the independent risk factors of the patient's live birth outcome through multivariate logistic regression analysis and construct the nomogram prediction model. The validation group [1 625 patients with average age of (33±6) years] was used to verify and calibrate the performance of the model. Results: The results of multivariate logistic regression analysis showed that the risk factors related to live birth outcome of D3 frozen-thawed embryos after overnight culture included: female age (OR=0.901,95%CI:0.889-0.914,P<0.001), body mass index (BMI) (OR=0.979,95%CI:0.957-1.002,P=0.072), endometrial thickness on the transfer day (OR=1.121,95%CI:1.080-1.164,P<0.001), the number of transferred embryos (OR=2.192,95%CI:1.867-2.579,P<0.001) and embryo division resumed after overnight culture (OR=1.405,95%CI:1.213-1.627,P<0.001). The area under the curve (AUC) of the nomogram model in the modeling group was 0.716 and that in the validation group was 0.739.Both sets of calibration curves fited well with the ideal curve, which illustrated that the model had good predictive ability. Conclusions: The female age, BMI endometrial thickness on the transfer day, the number of transferred embryos and the embryo division resumed after overnight culture are risk factors for the live birth outcome of frozen-thawed embryos after overnight culture. The nomogram established based on the above factors can help predict the probability of live birth after frozen-thawed embryo transfer.
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Affiliation(s)
- Y H Guo
- Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X X Shen
- Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Liu
- Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - L Qi
- Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Y Zhang
- Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - D C Jin
- Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H X Jin
- Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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29
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Tang Y, Qi L, Liu Y, Guo L, Zhao R, Yang M, Du Y, Li B. CLIPON: A CRISPR-Enabled Strategy that Turns Commercial Pregnancy Test Strips into General Point-of-Need Test Devices. Angew Chem Int Ed Engl 2022; 61:e202115907. [PMID: 35064613 DOI: 10.1002/anie.202115907] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Indexed: 12/24/2022]
Abstract
Desirable biosensing assays need to be sensitive, specific, cost-effective, instrument-free, and versatile. Herein we report a new strategy termed CLIPON (CRISPR and Large DNA assembly Induced Pregnancy strips for signal-ON detection) that can deliver these traits. CLIPON integrates a commercial pregnancy test strip (PTS) with four biological elements: the human chorionic gonadotropin (hCG), CRISPR-Cas12a, crRNA and cauliflower-like large-sized DNA assemblies (CLD). CLIPON uses the Cas12a/crRNA complex both to recognize a target of interest and to release CLD-bound hCG so that target presence can translate into a colorimetric signal on the PTS. We demonstrate the versatility of CLIPON through sensitive and specific detection of HPV genomic DNA, SARS-CoV-2 genomic RNA and adenosine. We also engineer a cell phone app and a hand-held microchip to achieve signal quantification. CLIPON represents an attractive option for biosensing and point-of-care diagnostics.
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Affiliation(s)
- Yidan Tang
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China
| | - Lijuan Qi
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China.,University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China
| | - Yichen Liu
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China.,University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China
| | - Lulu Guo
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China.,University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China
| | - Rujian Zhao
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China.,University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China
| | - Meiting Yang
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China
| | - Yan Du
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China.,University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China
| | - Bingling Li
- State Key Lab of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China.,University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China
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30
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Tang Y, Qi L, Liu Y, Guo L, Zhao R, Yang M, Du Y, Li B. CLIPON: A CRISPR‐Enabled Strategy that Turns Commercial Pregnancy Test Strips into General Point‐of‐Need Test Devices. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202115907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Yidan Tang
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
| | - Lijuan Qi
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- University of Science and Technology of China Hefei Anhui 230026 P. R. China
| | - Yichen Liu
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- University of Science and Technology of China Hefei Anhui 230026 P. R. China
| | - Lulu Guo
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- University of Science and Technology of China Hefei Anhui 230026 P. R. China
| | - Rujian Zhao
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- University of Science and Technology of China Hefei Anhui 230026 P. R. China
| | - Meiting Yang
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
| | - Yan Du
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- University of Science and Technology of China Hefei Anhui 230026 P. R. China
| | - Bingling Li
- State Key Lab of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- University of Science and Technology of China Hefei Anhui 230026 P. R. China
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Qi L, Shi Y, Terzaghi W, Yang S, Li J. Integration of light and temperature signaling pathways in plants. J Integr Plant Biol 2022; 64:393-411. [PMID: 34984823 DOI: 10.1111/jipb.13216] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Abstract
As two of the most important environmental factors, light and temperature regulate almost all aspects of plant growth and development. Under natural conditions, light is accompanied by warm temperatures and darkness by cooler temperatures, suggesting that light and temperature are tightly associated signals for plants. Indeed, accumulating evidence shows that plants have evolved a wide range of mechanisms to simultaneously perceive and respond to dynamic changes in light and temperature. Notably, the photoreceptor phytochrome B (phyB) was recently shown to function as a thermosensor, thus reinforcing the notion that light and temperature signaling pathways are tightly associated in plants. In this review, we summarize and discuss the current understanding of the molecular mechanisms integrating light and temperature signaling pathways in plants, with the emphasis on recent progress in temperature sensing, light control of plant freezing tolerance, and thermomorphogenesis. We also discuss the questions that are crucial for a further understanding of the interactions between light and temperature signaling pathways in plants.
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Affiliation(s)
- Lijuan Qi
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Yiting Shi
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - William Terzaghi
- Department of Biology, Wilkes University, Wilkes-Barre, Pennsylvania, 18766, USA
| | - Shuhua Yang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Jigang Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
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Li C, Qi L, Zhang S, Dong X, Jing Y, Cheng J, Feng Z, Peng J, Li H, Zhou Y, Wang X, Han R, Duan J, Terzaghi W, Lin R, Li J. Mutual upregulation of HY5 and TZP in mediating phytochrome A signaling. Plant Cell 2022; 34:633-654. [PMID: 34741605 PMCID: PMC8774092 DOI: 10.1093/plcell/koab254] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/08/2021] [Indexed: 05/25/2023]
Abstract
Phytochrome A (phyA) is the far-red (FR) light photoreceptor in plants that is essential for seedling de-etiolation under FR-rich environments, such as canopy shade. TANDEM ZINC-FINGER/PLUS3 (TZP) was recently identified as a key component of phyA signal transduction in Arabidopsis thaliana; however, how TZP is integrated into the phyA signaling networks remains largely obscure. Here, we demonstrate that ELONGATED HYPOCOTYL5 (HY5), a well-characterized transcription factor promoting photomorphogenesis, mediates FR light induction of TZP expression by directly binding to a G-box motif in the TZP promoter. Furthermore, TZP physically interacts with CONSTITUTIVE PHOTOMORPHOGENIC1 (COP1), an E3 ubiquitin ligase targeting HY5 for 26S proteasome-mediated degradation, and this interaction inhibits COP1 interaction with HY5. Consistent with those results, TZP post-translationally promotes HY5 protein stability in FR light, and in turn, TZP protein itself is destabilized by COP1 in both dark and FR light conditions. Moreover, tzp hy5 double mutants display an additive phenotype relative to their respective single mutants under high FR light intensities, indicating that TZP and HY5 also function in largely independent pathways. Together, our data demonstrate that HY5 and TZP mutually upregulate each other in transmitting the FR light signal, thus providing insights into the complicated but delicate control of phyA signaling networks.
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Affiliation(s)
- Cong Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Lijuan Qi
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Shaoman Zhang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Xiaojing Dong
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yanjun Jing
- Key Laboratory of Photobiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Jinkui Cheng
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Ziyi Feng
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jing Peng
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Hong Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yangyang Zhou
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Xiaoji Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Run Han
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jie Duan
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - William Terzaghi
- Department of Biology, Wilkes University, Wilkes-Barre, Pennsylvania 18766, USA
| | - Rongcheng Lin
- Key Laboratory of Photobiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Jigang Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
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Yu J, Liu J, Ma CB, Qi L, Du Y, Hu X, Jiang Y, Zhou M, Wang E. Signal-On Electrochemical Detection for Drug-Resistant Hepatitis B Virus Mutants through Three-Way Junction Transduction and Exonuclease III-Assisted Catalyzed Hairpin Assembly. Anal Chem 2021; 94:600-605. [PMID: 34920663 DOI: 10.1021/acs.analchem.1c03451] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The present detection method for hepatitis B virus (HBV) drug-resistant mutation has a high misdiagnosis rate and usually needs to meet stringent requirements for technology and equipment, leading to complex and time-consuming manipulation and drawback of high costs. Herein, with the purpose of developing cost-effective, highly efficient, and handy diagnosis for HBV drug-resistant mutants, we propose an electrochemical signal-on strategy through the three-way junction (3WJ) transduction and exonuclease III (Exo III)-assisted catalyzed hairpin assembly (CHA). To achieve single-copy gene detection, loop-mediated nucleic acid isothermal amplification (LAMP), one of the highly promising and compatible techniques to revolutionize point-of-care genetic detection, is first adopted for amplification. The rtN236T mutation, an error encoded by codon 236 of the reverse transcriptase region of HBV DNA, was employed as the model gene target. Under the optimized conditions, it allows end-point transduction from HBV drug-resistant mutants-genomic information to electrochemical signals with ultrahigh sensitivity, specificity, and signal-to-noise ratio, showing the lowest detection concentration down to 2 copies/μL. Such a method provides a possibly new principle for ideal in vitro diagnosis, supporting the construction of a clinic HBV diagnosis platform with high accuracy and generalization. Moreover, it is not restricted by specific nucleic acid sequences but can be applied to the detection of various disease genes, laying the foundation for multiple detection.
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Affiliation(s)
- Jiaxue Yu
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, National & Local United Engineering Laboratory for Power Batteries, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China.,State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
| | - Jingju Liu
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, National & Local United Engineering Laboratory for Power Batteries, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Chong-Bo Ma
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, National & Local United Engineering Laboratory for Power Batteries, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Lijuan Qi
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China.,Department of Chemistry, University of Science & Technology of China, Hefei, Anhui 230026, China
| | - Yan Du
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China.,Department of Chemistry, University of Science & Technology of China, Hefei, Anhui 230026, China
| | - Xintong Hu
- Key Laboratory of Organ Regeneration & Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Yanfang Jiang
- Key Laboratory of Organ Regeneration & Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Ming Zhou
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, National & Local United Engineering Laboratory for Power Batteries, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Erkang Wang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China.,Department of Chemistry, University of Science & Technology of China, Hefei, Anhui 230026, China
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Zhang Z, Man H, Qi L, Wang X, Liu H, Zhao J, Wang H, Jing S, He T, Wang S, He K. Measurement and minutely-resolved source apportionment of ambient VOCs in a corridor city during 2019 China International Import Expo episode. Sci Total Environ 2021; 798:149375. [PMID: 34375262 DOI: 10.1016/j.scitotenv.2021.149375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/27/2021] [Accepted: 07/27/2021] [Indexed: 06/13/2023]
Abstract
In this study, real-time measurement of Volatile Organic Compounds (VOCs) was conducted at an urban site in Changzhou, a typical corridor city in the Yangtze River Delta (YRD) region in China, by Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS) during 2019 China International Import Expo (CIIE) episode. An improved method based on Air Quality Index (AQI) value is applied to identify polluted and clean periods. Diurnal pattern of VOC levels revealed elevated photochemical reactivity during polluted periods. Five VOC sources were identified by Positive Matrix Factorization (PMF) model, including secondary formation (22.71 ± 12.33%), biogenic (21.50% ± 11.76%), solvent usage (20.50 ± 10.07%), vehicle exhaust (18.32 ± 8.32%), and industrial process and fuel usage (16.96 ± 13.21%). The mean contribution of vehicular exhaust was 10.84% higher during the nighttime than the daytime under polluted days. The biogenic source contributed more during clean periods, while the secondary formation presented the opposite. Spatial analysis displayed that the VOC concentration was higher in the S and SSE. In terms of the regional transport, short-distance air masses from the northeast and the south within the YRD region led to high VOC levels and biogenic VOC derived from the ocean might affect the entire region. Stringent emission control policies enforced over the YRD for 2019 CIIE provided an excellent opportunity to determine the source-receptor response. As joint control area, the VOC level of Changzhou exhibited a substantial reduction and the VOC amounts emitted by solvent usage showed the biggest decrease (-58%). The findings of this study highlight the superiority of high time-resolved data in identifying the dynamic variation pattern (with the change of time and wind) of VOC levels and emission intensities.
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Affiliation(s)
- Zhining Zhang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Hanyang Man
- Digital Fujian Internet-of-things Laboratory of Environmental Monitoring, School of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China
| | - Lijuan Qi
- College of Eco-environmental Engineering, Qinghai University, Xining 810016, China
| | - Xiaotong Wang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Huan Liu
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China.
| | - Junchao Zhao
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Hongli Wang
- State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Shengao Jing
- State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Tao He
- Changzhou Environmental Monitoring Center of Jiangsu Province, Changzhou 213001, China
| | - Shuxiao Wang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
| | - Kebin He
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China
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Qi L, Zhao J, Li Q, Su S, Lai Y, Deng F, Man H, Wang X, Shen X, Lin Y, Ding Y, Liu H. Primary organic gas emissions from gasoline vehicles in China: Factors, composition and trends. Environ Pollut 2021; 290:117984. [PMID: 34455299 DOI: 10.1016/j.envpol.2021.117984] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 08/02/2021] [Accepted: 08/14/2021] [Indexed: 06/13/2023]
Abstract
Continuous tightening emission standards (ESs) facilitate the reduction of organic gas emissions from gasoline vehicles. Correspondingly, it is essential to update the emissions and chemical speciation of total organic gases (TOGs), including volatile organic compounds (VOCs), intermediate volatility organic compounds (IVOCs), CH4, and unidentified non-methane hydrocarbons (NMHCs) for assessing the formation of ozone and secondary organic aerosol (SOA). In this study, TOG and speciation emissions from 12 in-use light-duty gasoline vehicle (LDGV) exhausts, covering the ESs from China II to China V, were investigated on a chassis dynamometer under the Worldwide Harmonized Light-duty Test Cycle (WLTC) in China. The results showed that the most effectively controlled subgroup in TOG emissions from LDGVs was VOCs, followed by the unidentified NMHCs and IVOCs. The mass fraction of VOCs in TOGs also reduced from 61 ± 9% to 46 ± 18% while the IVOCs gently increased from 2 ± 0.4% to 8 ± 4% along with the more stringent ESs. For the VOC subsets, the removal efficiency of oxygenated VOCs (OVOCs) was lower than those of other VOC subsets in the ESs from China IV to V, suggesting the importance of OVOC emission controls for relatively new LDGVs. The IVOC emissions were mainly subject to the ESs, then driving cycles and fuel use. The formation potentials of ozone and SOA from LDGVs decreased separately 96% and 90% along with the restricted ESs from China II-III to China IV. The major contributor of SOA formation transformed from aromatics in the VOC subsets for China II-III vehicles to IVOCs for China IV/V vehicles, highlighting that IVOC emissions from LDGVs are also needed more attentions to control in future.
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Affiliation(s)
- Lijuan Qi
- State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, 100084, China; State Key Laboratory of Plateau Ecology and Agriculture, College of Eco-environmental Engineering, Qinghai University, Xining, 810016, China
| | - Junchao Zhao
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Qiwei Li
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Sheng Su
- Xiamen Environment Protection Vehicle Emission Control Technology Center, Xiamen, 361023, China; National Laboratory of Automotive Performance & Emission Test, Beijing Institute of Technology, Beijing, 100081, China
| | - Yitu Lai
- Xiamen Environment Protection Vehicle Emission Control Technology Center, Xiamen, 361023, China
| | - Fanyuan Deng
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Hanyang Man
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Xiaotong Wang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Xiu'e Shen
- Beijing Municipal Environmental Monitoring Center, Beijing, 100048, China
| | - Yongming Lin
- Xiamen Environment Protection Vehicle Emission Control Technology Center, Xiamen, 361023, China
| | - Yan Ding
- State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Vehicle Emission Control Center (VECC), Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Huan Liu
- State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, 100084, China.
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Liu X, Ju Y, Liu M, Huang L, Luo Y, Qi L, Ye J, Zhang S, Yan Y, Li Y. Effect of dietary Auricularia cornea culture supplementation on growth performance, serum biochemistry profile and meat quality in growing-finishing pigs. J Anim Feed Sci 2021. [DOI: 10.22358/jafs/143105/2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Qi L, Yang M, Chang D, Zhao W, Zhang S, Du Y, Li Y. A DNA Nanoflower-Assisted Separation-Free Nucleic Acid Detection Platform with a Commercial Pregnancy Test Strip. Angew Chem Int Ed Engl 2021; 60:24823-24827. [PMID: 34432346 DOI: 10.1002/anie.202108827] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/06/2021] [Indexed: 12/16/2022]
Abstract
There is a constant drive for affordable point-of-care testing (POCT) technologies for the detection of infectious human diseases. Herein, we report a simple platform for DNA detection that takes advantage of four techniques: commercially available pregnancy test strips (PTS), amplicon generation via loop-mediated isothermal amplification (LAMP), toehold-mediated strand displacement, and noncovalent immobilization of DNA on paper surface with DNA nanoflowers. This simple, separation-free platform is highly specific, as demonstrated with the detection of rtL180M, a single-nucleotide polymorphism observed in hepatitis B virus (HBV) associated with antiviral drug resistance. It is very sensitive, capable of detecting the targeted mutation at 2 copies μL-1 . It is able to correctly identify the unmutated and rtL180M genome types of HBV in clinical samples. Given its wide adaptability, we expect this platform can be easily modified for the detection of genetic variations associated with various pathogens and human diseases.
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Affiliation(s)
- Lijuan Qi
- State key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Jilin, P. R. China
- Department of Chemistry, University of Science and Technology of China, Anhui, P. R. China
| | - Meiting Yang
- State key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Jilin, P. R. China
| | - Dingran Chang
- Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S4K1, Canada
| | - Wenjing Zhao
- Hepatobiliary Disease Hospital of Jilin Province, Jilin, P. R. China
| | - Sicai Zhang
- State key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Jilin, P. R. China
| | - Yan Du
- State key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Jilin, P. R. China
- Department of Chemistry, University of Science and Technology of China, Anhui, P. R. China
| | - Yingfu Li
- Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S4K1, Canada
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Evans T, Liang B, Yan Z, Sun X, Yi Y, Vegter A, Guo L, Yang Y, Feng Z, Park S, Qi L, Bartels D, Gibson K, Meyerholz D, Engelhardt J. 658: In utero CFTR modulator therapy protects from meconium ileus and improves postnatal survival in F508del ferrets. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02081-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Zhao L, Qi L, Fu J, Bi S, Li L, Fu Y. Corrigendum: Efficacy of Intrauterine Perfusion of Cyclosporin A for Intractable Recurrent Spontaneous Abortion Patients With Endometrial Alloimmune Disorders: A Randomized Controlled Trial. Front Physiol 2021; 12:774213. [PMID: 34712152 PMCID: PMC8546349 DOI: 10.3389/fphys.2021.774213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 09/22/2021] [Indexed: 11/13/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fphys.2021.737878.].
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Affiliation(s)
- Long Zhao
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lijuan Qi
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
| | - Jinhua Fu
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
| | - Shuqin Bi
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
| | - Lin Li
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yinghui Fu
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
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Qi L, Yang M, Chang D, Zhao W, Zhang S, Du Y, Li Y. A DNA Nanoflower‐Assisted Separation‐Free Nucleic Acid Detection Platform with a Commercial Pregnancy Test Strip. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202108827] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Lijuan Qi
- State key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Jilin P. R. China
- Department of Chemistry University of Science and Technology of China Anhui P. R. China
| | - Meiting Yang
- State key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Jilin P. R. China
| | - Dingran Chang
- Department of Biochemistry and Biomedical Sciences McMaster University 1280 Main Street West Hamilton Ontario L8S4K1 Canada
| | - Wenjing Zhao
- Hepatobiliary Disease Hospital of Jilin Province Jilin P. R. China
| | - Sicai Zhang
- State key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Jilin P. R. China
| | - Yan Du
- State key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Jilin P. R. China
- Department of Chemistry University of Science and Technology of China Anhui P. R. China
| | - Yingfu Li
- Department of Biochemistry and Biomedical Sciences McMaster University 1280 Main Street West Hamilton Ontario L8S4K1 Canada
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Qi L, Zhang Z, Wang X, Deng F, Zhao J, Liu H. Molecular characterization of atmospheric particulate organosulfates in a port environment using ultrahigh resolution mass spectrometry: Identification of traffic emissions. J Hazard Mater 2021; 419:126431. [PMID: 34186426 DOI: 10.1016/j.jhazmat.2021.126431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/28/2021] [Accepted: 06/16/2021] [Indexed: 06/13/2023]
Abstract
Organosulfates (OSs) are an important component of atmospheric organic aerosol (OA) and are widespread in various environments. However, the OSs generated from anthropogenic emissions are poorly understood. In this study, the molecular compositions of OSs from atmospheric PM2.5 samples collected during a winter measurement campaign (SEISO-Bohai) at Jingtang Harbor were characterized via ultrahigh resolution mass spectrometry (UHRMS). The changes of port OS compositions were observed in episodes of complete haze pollution. As the pollution aggravated, the relative abundances of OSs were apparently increased, and the molecule compositions became more complex, primarily driven by the oxidation and fragmentation processes. Potential OS precursors from traffic emissions were identified based on an optimized "OS precursor map" developed in the previous study. OSs characterized by high molecular weights and low degrees of both unsaturation and oxidization were suggested to mainly derive from secondary reactions of intermediate volatile organic compounds (IVOCs) emitted by traffic sources. These OSs were primarily detected in clean-day samples, followed by decreasing with the pollution process. In addition, our study also finds that ship emissions may further facilitated OS productions under haze pollution conditions.
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Affiliation(s)
- Lijuan Qi
- State Key Laboratory of Plateau Ecology and Agriculture, College of Eco-environmental Engineering, Qinghai University, Xining 810016, China; State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Zhining Zhang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Xiaotong Wang
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Fanyuan Deng
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Junchao Zhao
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Huan Liu
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of the Environment, Tsinghua University, Beijing 100084, China.
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Qi L, Bi S, Fu J, Fu Y, Li L, Zhao L. Efficacy of Intrauterine Perfusion of Cyclosporin A for Intractable Recurrent Spontaneous Abortion Patients With Endometrial Alloimmune Disorders: A Randomized Controlled Trial. Front Physiol 2021; 12:737878. [PMID: 34552510 PMCID: PMC8450415 DOI: 10.3389/fphys.2021.737878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Abstract
Objective To explore the therapeutic efficacy of intrauterine perfusion of cyclosporin A (CsA) in intractable recurrent spontaneous abortion (RSA) patients with endometrial alloimmune dysfunction. Methods This is a randomized controlled trial (RCT) of patients with intractable RSA with endometrial alloimmune disorders. A total of 201 women were enrolled, all of whom had at least 3 serial abortions and endometrial alloimmune dysfunction. Participants were randomly assigned to two groups. The CsA group (n = 101) received intrauterine infusion of 250 mg CsA on the 3rd and 7th days after menstruation for 2 menstrual cycles, while the placebo group (n = 100) received placebo. The birth of healthy, deformity-free babies was the main study outcome. Results In total, 75 (74.26%) women in the CsA group and 59 (59.00%) women in the placebo group gave birth to healthy babies [P = 0.01, OR = 2.01; 95% CI (1.10∼3.65)]. Compared to the placebo group, the CsA group had dramatically lower endometrial CD56+ cell and CD57+ cell concentrations at the luteal phase of the second menstrual cycle (P < 0.05). Conclusion Intrauterine perfusion of CsA was confirmed to be a promising approach for the treatment of intractable alloimmune RSA.
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Affiliation(s)
- Lijuan Qi
- Department of Obstetrics, Qingdao Jinhua Hospital, Qingdao, China
| | - Shuqin Bi
- Department of Obstetrics, Qingdao Jinhua Hospital, Qingdao, China
| | - Jinhua Fu
- Department of Obstetrics, Qingdao Jinhua Hospital, Qingdao, China
| | - Yinghui Fu
- Department of Obstetrics, Qingdao Jinhua Hospital, Qingdao, China
| | - Lin Li
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Long Zhao
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
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43
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Che XY, Hu XB, Lu J, Li QE, Wang C, Quan PQ, Qi L. [Health-related quality of life of diabetes patients and related factors before and after healthcare reform in Gansu province]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1670-1676. [PMID: 34814599 DOI: 10.3760/cma.j.cn112338-20200714-00942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: The study investigated and analyzed the health-related quality of life of diabetes patients in Gansu province before and after the healthcare reform and its influencing factors, so as to provide scientific evidence to improve the health-related quality of life of diabetes patients. Methods: The study used data of the fourth and sixth national health service household survey in Gansu province before (2008) and after (2018) medical reform separately, and EQ-5D health utility index was calculated on the basis of Chinese time frade-off values for EuroQol Five-Dimensions Questionnaire Utility Value scoring system. Results: Compared with the period before the healthcare reform, the five dimensions of EQ-5D for residents, aged 15 and above in Gansu, changed significantly after the healthcare reform: action capability improved by 8.08% (27.43% vs. 19.35%), self-care improved by 16.16% (26.55% vs. 10.39%), normal activity improved by 8.97% (28.32% vs. 19.35%), pain/discomfort worsened by 1.38% (38.05% vs. 39.43%), anxiety/depression worsened by 1.83% (16.81% vs. 18.64%), and the EQ-VAS score increased by 3.36 (60.53 vs. 63.89). The health utility index increased by 0.04 (0.83 vs. 0.87). Multivariate regression analysis results showed that the dimension influence factors were not completely consistent, on the whole, the health-related quality of life of diabetes patients with older age, lower education level, no physical exercise and multi chronic diseases was worse (P<0.05), and multiple chronic disease had the most serious effect on the health of patients with diabetes. The health-related quality of life of diabetes patients with the medical insurance in urban area and after the new medical reform was higher (P<0.05). Conclusion: The new healthcare reform has active influence on the health-related quality of life of diabetes patients in Gansu province, health care providers and policy makers should pay attention to the impacts of multi prechronic diseases on the health-related quality of life of diabetes patients and the mental health of patients with diabetes.
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Affiliation(s)
- X Y Che
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X B Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Lu
- Health Statistics Information Center of Gansu Province,Lanzhou 730000, China
| | - Q E Li
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Q Quan
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - L Qi
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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44
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Yang M, Tang Y, Qi L, Zhang S, Liu Y, Lu B, Yu J, Zhu K, Li B, Du Y. SARS-CoV-2 Point-of-Care (POC) Diagnosis Based on Commercial Pregnancy Test Strips and a Palm-Size Microfluidic Device. Anal Chem 2021; 93:11956-11964. [PMID: 34424659 PMCID: PMC8406982 DOI: 10.1021/acs.analchem.1c01829] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/09/2021] [Indexed: 12/19/2022]
Abstract
Coronavirus diseases such as the coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), pose serious threats. Portable and accurate nucleic acid detection is still an urgent need to achieve on-site virus screening and timely infection control. Herein, we have developed an on-site, semiautomatic detection system, aiming at simultaneously overcoming the shortcomings suffered by various commercially available assays, such as low accuracy, poor portability, instrument dependency, and labor intensity. Ultrasensitive isothermal amplification [i.e., reverse transcription loop-mediated isothermal amplification (RT-LAMP)] was applied to generate intensified SARS-CoV-2 RNA signals, which were then transduced to portable commercial pregnancy test strips (PTSs) via ultraspecific human chorionic gonadotropin (hCG)-conjugated toehold-mediated strand exchange (TMSE) probes (hCG-P). The entire detection was integrated into a four-channel, palm-size microfluidic device, named the microfluidic point-of-care (POC) diagnosis system based on the PTS (MPSP) detection system. It provides rapid, cost-effective, and sensitive detection, of which the lowest concentration of detection was 0.5 copy/μL of SARS-CoV-2 RNA, regardless of the presence of other similar viruses, even highly similar severe acute respiratory syndrome coronavirus (SARS-CoV). The successful detection of the authentic samples from different resources evaluated the practical application. The commercial PTS provides a colorimetric visible signal, which is instrument- and optimization-free. Therefore, this MPSP system can be immediately used for SARS-CoV-2 emergency detection, and it is worthy of further optimization to achieve full automation and detection for other infectious diseases.
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Affiliation(s)
- Meiting Yang
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
| | - Yidan Tang
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
| | - Lijuan Qi
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
- Department
of Chemistry, University of Science &
Technology of China, Hefei 230026, Anhui, China
| | - Sicai Zhang
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
| | - Yichen Liu
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
- Department
of Chemistry, University of Science &
Technology of China, Hefei 230026, Anhui, China
| | - Baiyang Lu
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
| | - Jiaxue Yu
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
| | - Kun Zhu
- Proteinbiosen
Biotechnology Limited Liability Company, Beijing 100000, P.R. China
| | - Bingling Li
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
- Department
of Chemistry, University of Science &
Technology of China, Hefei 230026, Anhui, China
| | - Yan Du
- State
Key Laboratory of Electroanalytical Chemistry, Changchun Institute
of Applied Chemistry, Chinese Academy of
Sciences, Changchun 130022, Jilin, P. R.
China
- Department
of Chemistry, University of Science &
Technology of China, Hefei 230026, Anhui, China
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45
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Wang C, Yu J, Qi L, Yu J, Yang M, Du Y. Glucometer‐based Ultra‐sensitive BRAF V600E Mutation Detection Facilitated by Magnetic Nanochains and a Self‐made Point‐of‐Care (POC) Device. ELECTROANAL 2021. [DOI: 10.1002/elan.202100286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Chang Wang
- State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- Department of Chemistry University of Science & Technology of China Hefei Anhui 230026 China
| | - Jingyuan Yu
- State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- Department of Chemistry University of Science & Technology of China Hefei Anhui 230026 China
| | - Lijuan Qi
- State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- Department of Chemistry University of Science & Technology of China Hefei Anhui 230026 China
| | - Jiaxue Yu
- State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
| | - Meiting Yang
- State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
| | - Yan Du
- State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 P. R. China
- Department of Chemistry University of Science & Technology of China Hefei Anhui 230026 China
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46
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Liu SR, Yang X, Qi L, Zhu Z, Ji YZ. SMARCA4 promotes benign skin malignant transformation into melanoma through Adherens junction signal transduction. Clin Transl Oncol 2021; 23:591-600. [PMID: 32720055 DOI: 10.1007/s12094-020-02453-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 07/04/2020] [Indexed: 12/17/2022]
Abstract
PURPOSE Melanoma is a malignant skin tumor, and its incidence is rising. To explore the specific differences in benign and malignant melanoma at the genetic level, we performed a series of bioinformatics analyses, including differential gene analysis, co-expression analysis, enrichment analysis, and regulatory prediction. METHODS The microarray data of benign and malignant melanocytes were downloaded from GEO, and 1917 differential genes were obtained by differential analysis (p < 0.05). Weighted gene co-expression network analysis obtained three functional barrier modules. The essential genes of each module are SMARTA4, HECA, and C1R. RESULTS The results of the enrichment analysis showed that the dysfunctional module gene was mainly associated with RNA splicing and Adherens junction. Through the pivotal analysis of ncRNA, it was found that miR-448, miR-152-3p, and miR-302b-3p essentially regulate three modules, which we consider to be critical regulators. In the pivot analysis of TF, more control modules include ARID3A, E2F1, E2F3, and E2F8. CONCLUSIONS We believe that the regulator (miR-448, miR-152-3p, miR-302b-3p) regulates the expression of the core gene SMARCA4, which in turn affects the signal transduction of the Adherens junction. It eventually leads to the deterioration of benign skin spasms into melanoma.
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Affiliation(s)
- S-R Liu
- Department of Dermatology, The Second Hospital of Jilin University, No.218 Ziqiang Street, Nanguan District, Changchun, 130041, Jilin, People's Republic of China
| | - X Yang
- Department of Urology, The Second Hospital of Jilin University, Changchun, 130041, Jilin, People's Republic of China
| | - L Qi
- Department of Dermatology, The Second Hospital of Jilin University, No.218 Ziqiang Street, Nanguan District, Changchun, 130041, Jilin, People's Republic of China
| | - Z Zhu
- Department of Hand Surgery, The Second Hospital of Jilin University, Changchun, 130041, Jilin, People's Republic of China
| | - Y-Z Ji
- Department of Dermatology, The Second Hospital of Jilin University, No.218 Ziqiang Street, Nanguan District, Changchun, 130041, Jilin, People's Republic of China.
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47
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Wilson JN, Thisse D, Lebois M, Jovančević N, Gjestvang D, Canavan R, Rudigier M, Étasse D, Gerst RB, Gaudefroy L, Adamska E, Adsley P, Algora A, Babo M, Belvedere K, Benito J, Benzoni G, Blazhev A, Boso A, Bottoni S, Bunce M, Chakma R, Cieplicka-Oryńczak N, Courtin S, Cortés ML, Davies P, Delafosse C, Fallot M, Fornal B, Fraile L, Gottardo A, Guadilla V, Häfner G, Hauschild K, Heine M, Henrich C, Homm I, Ibrahim F, Iskra ŁW, Ivanov P, Jazrawi S, Korgul A, Koseoglou P, Kröll T, Kurtukian-Nieto T, Le Meur L, Leoni S, Ljungvall J, Lopez-Martens A, Lozeva R, Matea I, Miernik K, Nemer J, Oberstedt S, Paulsen W, Piersa M, Popovitch Y, Porzio C, Qi L, Ralet D, Regan PH, Rezynkina K, Sánchez-Tembleque V, Siem S, Schmitt C, Söderström PA, Sürder C, Tocabens G, Vedia V, Verney D, Warr N, Wasilewska B, Wiederhold J, Yavahchova M, Zeiser F, Ziliani S. Angular momentum generation in nuclear fission. Nature 2021; 590:566-570. [PMID: 33627809 DOI: 10.1038/s41586-021-03304-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 12/09/2020] [Indexed: 01/31/2023]
Abstract
When a heavy atomic nucleus splits (fission), the resulting fragments are observed to emerge spinning1; this phenomenon has been a mystery in nuclear physics for over 40 years2,3. The internal generation of typically six or seven units of angular momentum in each fragment is particularly puzzling for systems that start with zero, or almost zero, spin. There are currently no experimental observations that enable decisive discrimination between the many competing theories for the mechanism that generates the angular momentum4-12. Nevertheless, the consensus is that excitation of collective vibrational modes generates the intrinsic spin before the nucleus splits (pre-scission). Here we show that there is no significant correlation between the spins of the fragment partners, which leads us to conclude that angular momentum in fission is actually generated after the nucleus splits (post-scission). We present comprehensive data showing that the average spin is strongly mass-dependent, varying in saw-tooth distributions. We observe no notable dependence of fragment spin on the mass or charge of the partner nucleus, confirming the uncorrelated post-scission nature of the spin mechanism. To explain these observations, we propose that the collective motion of nucleons in the ruptured neck of the fissioning system generates two independent torques, analogous to the snapping of an elastic band. A parameterization based on occupation of angular momentum states according to statistical theory describes the full range of experimental data well. This insight into the role of spin in nuclear fission is not only important for the fundamental understanding and theoretical description of fission, but also has consequences for the γ-ray heating problem in nuclear reactors13,14, for the study of the structure of neutron-rich isotopes15,16, and for the synthesis and stability of super-heavy elements17,18.
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Affiliation(s)
- J N Wilson
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France.
| | - D Thisse
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - M Lebois
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - N Jovančević
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - D Gjestvang
- Department of Physics, University of Oslo, Blindern, Oslo, Norway
| | - R Canavan
- Department of Physics, University of Surrey, Guildford, UK.,National Physical Laboratory, Teddington, UK
| | - M Rudigier
- Department of Physics, University of Surrey, Guildford, UK.,Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany
| | | | - R-B Gerst
- Institut für Kernphysik, Universität zu Köln, Cologne, Germany
| | | | - E Adamska
- Faculty of Physics, University of Warsaw, Warsaw, Poland
| | - P Adsley
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - A Algora
- IFIC, CSIC-University of Valencia, Valencia, Spain.,Institute for Nuclear Research (Atomki), Debrecen, Hungary
| | - M Babo
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - K Belvedere
- Department of Physics, University of Surrey, Guildford, UK
| | - J Benito
- Grupo de Fisica Nuclear & IPARCOS, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain
| | | | - A Blazhev
- Institut für Kernphysik, Universität zu Köln, Cologne, Germany
| | - A Boso
- National Physical Laboratory, Teddington, UK
| | - S Bottoni
- INFN, Milan, Italy.,Dipartimento di Fisica, Universitá degli Studi di Milano, Milan, Italy
| | - M Bunce
- National Physical Laboratory, Teddington, UK
| | - R Chakma
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | | | - S Courtin
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | | | - P Davies
- School of Physics and Astronomy, University of Manchester, Manchester, UK
| | - C Delafosse
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - M Fallot
- Subatech, IMT-Atlantique, Université de Nantes, Nantes, France
| | - B Fornal
- Institute of Nuclear Physics, Polish Academy of Sciences, Krakow, Poland
| | - L Fraile
- Grupo de Fisica Nuclear & IPARCOS, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain
| | - A Gottardo
- INFN Laboratori Nazionali di Legnaro, Legnaro, Italy
| | - V Guadilla
- Subatech, IMT-Atlantique, Université de Nantes, Nantes, France
| | - G Häfner
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France.,Institut für Kernphysik, Universität zu Köln, Cologne, Germany
| | - K Hauschild
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - M Heine
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | - C Henrich
- Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany
| | - I Homm
- Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany
| | - F Ibrahim
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - Ł W Iskra
- INFN, Milan, Italy.,Institute of Nuclear Physics, Polish Academy of Sciences, Krakow, Poland
| | - P Ivanov
- National Physical Laboratory, Teddington, UK
| | - S Jazrawi
- Department of Physics, University of Surrey, Guildford, UK.,National Physical Laboratory, Teddington, UK
| | - A Korgul
- Faculty of Physics, University of Warsaw, Warsaw, Poland
| | - P Koseoglou
- Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany.,GSI Helmoltzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
| | - T Kröll
- Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany
| | | | - L Le Meur
- Subatech, IMT-Atlantique, Université de Nantes, Nantes, France
| | - S Leoni
- INFN, Milan, Italy.,Dipartimento di Fisica, Universitá degli Studi di Milano, Milan, Italy
| | - J Ljungvall
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - A Lopez-Martens
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - R Lozeva
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - I Matea
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - K Miernik
- Faculty of Physics, University of Warsaw, Warsaw, Poland
| | - J Nemer
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - S Oberstedt
- European Commission, Joint Research Centre, Geel, Belgium
| | - W Paulsen
- Department of Physics, University of Oslo, Blindern, Oslo, Norway
| | - M Piersa
- Faculty of Physics, University of Warsaw, Warsaw, Poland
| | - Y Popovitch
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - C Porzio
- INFN, Milan, Italy.,Dipartimento di Fisica, Universitá degli Studi di Milano, Milan, Italy.,TRIUMF, Vancouver, British Columbia, Canada
| | - L Qi
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - D Ralet
- Grand Accélérateur National d'Ions Lourds, Caen, France
| | - P H Regan
- Department of Physics, University of Surrey, Guildford, UK.,National Physical Laboratory, Teddington, UK
| | - K Rezynkina
- Institute for Nuclear and Radiation Physics, Katholieke Universiteit Leuven, Leuven, Belgium
| | - V Sánchez-Tembleque
- Grupo de Fisica Nuclear & IPARCOS, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain
| | - S Siem
- Department of Physics, University of Oslo, Blindern, Oslo, Norway
| | - C Schmitt
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
| | - P-A Söderström
- Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany.,Extreme Light Infrastructure-Nuclear Physics, Horia Hulubei National Institute for Physics and Nuclear Engineering, Bucharest-Măgurele, Romania
| | - C Sürder
- Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany
| | - G Tocabens
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - V Vedia
- Grupo de Fisica Nuclear & IPARCOS, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain
| | - D Verney
- Université Paris-Saclay, CNRS/IN2P3, IJC Laboratory, Orsay, France
| | - N Warr
- Institut für Kernphysik, Universität zu Köln, Cologne, Germany
| | - B Wasilewska
- Institute of Nuclear Physics, Polish Academy of Sciences, Krakow, Poland
| | - J Wiederhold
- Technische Universität Darmstadt, Fachbereich Physik, Institut für Kernphysik, Darmstadt, Germany
| | - M Yavahchova
- Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - F Zeiser
- Department of Physics, University of Oslo, Blindern, Oslo, Norway
| | - S Ziliani
- INFN, Milan, Italy.,Dipartimento di Fisica, Universitá degli Studi di Milano, Milan, Italy
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48
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Zhao L, Bi S, Fu J, Qi L, Li L, Fu Y. Retrospective Analysis of Fondaparinux and Low-Molecular-Weight Heparin in the Treatment of Women With Recurrent Spontaneous Abortion. Front Endocrinol (Lausanne) 2021; 12:717630. [PMID: 34721290 PMCID: PMC8553245 DOI: 10.3389/fendo.2021.717630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/17/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND To compare the clinical efficacy of fondaparinux and LMWH and provide clinical evidence for the effectiveness of fondaparinux in the treatment of recurrent spontaneous abortion caused by PTS. METHODS A retrospective analysis was conducted for 120 patients diagnosed with a recurrent spontaneous abortion caused by PTS in Qingdao Jinhua Women's Hospital from March 2019 to April 2020. The patients were divided into two groups: 68 cases in the control group, treated with LMWH, 52 cases in the observational group, treated with fondaparinux. The pregnancy outcomes and adverse reactions between the two groups of recurrent miscarriage patients were compared. RESULTS No significant difference was detected in the general data between the two groups of patients before treatment (P>0.05). In the observational group, the R value was increased, and the α and MA values were decreased after three months of treatment compared to those before treatment (P<0.05). In the control group, the R value was increased, and the MA value was decreased after three months of treatment compared to those before treatment (P<0.05). After treatment, no significant difference was observed in the pregnancy outcome between the two groups (P>0.05). The total adverse reaction rate of the fondaparinux group was lower than that of the LMWH group (P<0.05). CONCLUSIONS In this study, no significant difference was detected in the pregnancy outcome between fondaparinux and LMWH in the treatment of recurrent spontaneous abortion caused by PTS, but fondaparinux had a low occurrence rate of adverse reactions and high safety.
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Affiliation(s)
- Long Zhao
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
- *Correspondence: Long Zhao,
| | - Shuqin Bi
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
| | - Jinhua Fu
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
| | - Lijuan Qi
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
| | - Lin Li
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yinghui Fu
- Department of Obstetrics, Qingdao Jinhua Gynecology Hospital, Qingdao, China
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Qi L, Guo CY, Huangfu MG, Zhang Y, Wu L, Zhi XX, Liu JG, Zhang XM. Highly solvent-stable polyimide ultrafine fibrous membranes fabricated by a novel ultraviolet-assisted electrospinning technique via organo-soluble intrinsically negative photosensitive varnishes. EXPRESS POLYM LETT 2021. [DOI: 10.3144/expresspolymlett.2021.8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Wu X, Wu L, Qi L, Yin LM, Yang Y, Jiang GL, Zhi XX, Zhang Y, Liu JG, Wu JT. Preparation, characterization, and continuous manufacturing of nonflammable colorless and transparent semi-alicyclic polyimide film modified with phenoxy- phosphazene oligomer flame retardant. EXPRESS POLYM LETT 2021. [DOI: 10.3144/expresspolymlett.2021.29] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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